SILABUS SINGKAT MATAKULIAH PROGRAM MAGISTER INSTRUMENTASI DAN KONTROL FAKULTAS TEKNOLOGI INDUSTRI INSTITUT TEKNOLOGI BANDUNG

SILABUS SINGKAT MATAKULIAH PROGRAM MAGISTER INSTRUMENTASI DAN KONTROL FAKULTAS TEKNOLOGI INDUSTRI INSTITUT TEKNOLOGI BANDUNG Matakuliah TAHUN PERTAMA Semester I No

Kode

1

MA6173

2

Semester II

Nama Matakuliah

SKS

No

Kode

Matematika Lanjut

2

1

TF6212

Teknik Optimasi

2

TF6111

Fisika Instrumentasi

2

2

TF6214

Proses Stokastik

2

3

TF6113

Sistem Pengukuran

3

3

TF6216

Sistem Instrumentasi

3

4

TF6115

Sistem Linier

3

4

TF6218

Teori Kontrol Otomatik

3

5

TF8111

Metoda dan Manajemen Riset

2

TOTAL

12

Nama Matakuliah

TOTAL

SKS

10

Matakuliah TAHUN KEDUA Semester III No

Kode

Nama Matakuliah

Semester IV SKS

No

1

Matakuliah Pilihan

2

1

2

Matakuliah Pilihan

2

2

3

Matakuliah Pilihan

2

3

4

Matakuliah Pilihan

2

4

Penelitian I

2

5

TOTAL

10

5

TF70Z1

Kode

TF70Z2

Nama Matakuliah

SKS

Penelitian II

4

TOTAL

4

Matakuliah PILIHAN Semester III No

Kode

1

TF5111

2

Nama Matakuliah

Semester IV SKS

No

Kode

Kontrol Optimal

2

1

TF5212

Sistem Pakar

2

TF5113

Kontrol Proses

2

2

TF5214

Identifikasi Sistem

2

3

TF5115

Instrumentasi Medik

2

3

TF722A

Instrumentasi Ultrasonik

2

4

TF7111

Kontrol Adaptif

2

4

TF7212

Sistem Kontrol Non Linier

2

5

TF7113

Sistem Inteligensia Buatan

2

5

TF7214

Sistem Online dan Real-Time

2

6

TF8113

Pemrosesan Sinyal Lanjut

2

6

TF8212

Estimasi dan Pemfilteran

2

7

TF8115

Pemodelan dan Simulasi

2

7

TF8242

Instrumentasi Optik dan Laser

2

Silabus S2 PINK Tahun 2003/2004

Nama Matakuliah

SKS

1

SEMESTER I Courses MA6173 Advanced Mathematics TF6111 Physics of Instrumentation TF6113 Measurement Systems TF6115 Linear Systems TF8111

Method and Management of Research

Total Credit Units

SEMESTER III Courses

TF7011

Elective Selected Courses Research I

Total Credit Units

SEMESTER II Courses

Credit Hours 2 TF6212 Optimization Technique 2 TF6214 Stochastic Process 3 3

12

Credit Hours 8 2 10

TF7113 TF7115

Adaptive Control Artificial Intelligent

2 2

TF7117

Process Control

2

TF7119

Medical Instrumentations Advanced Signal Processing Modeling and Simulation

2


3 3

Total Credit Units

10

SEMESTER IV

2

TF8115

2

2

Courses List of Elective I & III TF7111 Optimal Control

TF8113

TF6216 Instrumentation Systems TF6218 Automatic Control Theory

Credit Hours 2

2 2

Courses

TF7012 Research II

Total Credit Units Courses List of Elective II & IV TF7210 Ultrasonic Instrumentation TF7212 Expert Systems TF7214 Nonlinear Control Systems TF7216 Online & Real Time Systems TF7218 System Identification TF8212 Estimation and Filtering TF8214 Optical Instr. and Laser

Credit Hours 4 4

2 2 2 2 2 2 2

2

I.1. TF5111 Kontrol Optimal Kode Kuliah TF5111

Kredit : 2 SKS

Sifat kuliah Kelompok Kuliah Course Title (Indonesian) Nama Matakuliah Course Title (English) Nama Matakuliah Short Description Silabus ringkas

References Acuan


Semester: 3

KBK/Bidang Keahlian: Instrumentasi dan Kontrol

Sifat: Pilihan

Kuliah Matakuliah Keahlian Optimal Kontrol Control Optimal Pengenalan, pendekatan Lyapunov, Hamilton-Jacobi dan Minimum Principle, pendekatan peletakan akar (pole-placement), pemrograman dinamik, pengontrol optimal waktu diskrit, estimasi variabel keadaan optimum, pengontrol optimal dengan sistem persamaan polynomial, kontrol tegar Introduction, Lyapunov approach, Hamilton-Jacobi and Minimum Principle, pole placement approach, dynamic programming, discrete-time optimal controller, optimum state estimation, optimal controller of polynomial systems of equation, robust control 1. Frank L. Lewis and Vassilis L. Syrmos, Optimal Control, John Wiley and Sons, Inc., 1995. 2. Michael J. Grimble and Michael A. Johnson, Optimal Control and Stochastic Estimation : Theory and Aplications, Volume I, John Wiley & Sons, 1988 3. Brian D.O. Anderson and John B. Moore, Optimal Control: Linear Quadratic Methods, Prentice-Hall, Inc., 1989.

3

I.2. TF5113 Kontrol Proses Kode Kuliah TF5113

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Kontrol Proses Process Control Membahas konsep sistem kontrol proses, representasi dan pemodelan sistem-sistem fisis dengan model matematik dan hukum-hukum dasar, perancangan sistem kontrol proses dengan metoda kontrol konvensional, strategi kontrol proses lanjut, model-based predictive control, plant-wide control, representasi proses multivariabel, interaksi proses multivariabel, pengontrolan proses multivariabel, studi kasus penerapan sistem kontrol proses di industri Introduction, physical systems modelling and representation using mathematical model and basic laws, design of process control system using conventional control strategies, advanced process control, model-based predictive control, plant-wide control, multivariable process representation, interaction in multivariable process, case studies 1. William L. Luyben, Process Modelling, Simulation and Control for Chemical Engineers, 2nd. ed. McGraw-Hill, 1990 2. F.G. Shinskey, Process Control Systems : Application, Design and Tuning, McGraw-Hill, 1986. 3. George Stephanopoulos, Chemical Process Control : An Introduction to Theory and Practice, Prentice Hall, 1984 4. Morari, M and E. Zafiriou, Robust Process Control, PrenticeHall, Inc., 1989 5. Marlin, T.E., Process Control : Design Processes and Control Systems for Dynamic Performance, McGraw-Hill, 1995

4

I.3. TF5115 Instrumentasi Medik .Kode Kuliah TF5115

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Instrumentasi Medik Medical Instrumentation Konsep dasar instrumentasi medik, sensor dasar dan prinsipnya, amplifier dan pengolahan sinyal, sumber biopotensial, elektroda biopotensial, amplifier biopotensial, tekanan darah dan suara, pengukuran aliran darah dan volume darah, pengukuran pada sistem pernafasan, biosensor kimiawi, instrumentasi laboratorium klinik, sistem imaging medik, perangkat terapi dan prostetik, safety elektrik. Basic principles of medical instrumentation, sensor and its principles, amplifier and signal processing; biopotential, electrode of biopotensial, amplifier of biopotential, blood and sound pressure, blood flow and volume measurement, measurement on respiratory system, chemical biosensor, instrumentation of clinical laboratorium, medical imaging system, theurapeutic and prostetic devices, electrical safety 1. Webster (editor), Medical Instrumentation, Application and Design, Houghton Mifflin, 2nd edition, 1992 2. Cromwell Leslie, Weibel J. Fred, Pfeiffer A. Erich, Biomedical Instrumentation and Measurements, Prentice Hall, 2nd edition, 1980 3. Metin Akay, Biomedical signal Processing, Academic Press, 1994 4. Hudson L. Donna, Cohen E. Maurice, Neural Networks and Artificial Intelligence for Biomedical Engineering, Prentice Hall, 2001

5

I.4. TF5212 Sistem Pakar Kode Kuliah TF5212

Kredit : 2 SKS


References Acuan


Semester: 2/4


Sifat: Pilihan

Kuliah Matakuliah Keahlian Sistem Pakar Expert Systems Pengantar inteligensia buatan dan sistem pakar; Pelacakan : teori graph, pelacakan exhaustive, pelacakan heuristic; Representasi pengetahuan : logika, aturan, pohon keputusan, jaringan semantik, frame dan objek, case-based reasoning; Manajemen ketidakpastian : persoalan ketidakpastian, pendekatan Bayes, faktor ketidakpastian; Rekayasa pengetahuan : siklus hidup, spesifikasi kebutuhan, akuisisi pengetahuan & verifikasi dan validasi; Pemrograman dan pembuatan prototipe sistem pakar Introduction to artificial intelligence and expert systems; Search problem : graph theory, exhaustive search, heuristic search; Knowledge representation : logic, rules, decision tree, semantics network, frame and object, based reasoning; Management of uncertainty : uncertainty problem, Bayes approach, uncertainty factor; Knowlegde engineering : life cycle, specification of requirements, knowledge acquisition, verification and validation; Programming and prototype design of expert system 1. Mike van Horn, Understanding Expert System, Bantam Book, 1986 2. David W.Rolston, Principle of Artificial Intelligence and Expert System Development, ESL Inc. 3. Louis E. Frenzel Jr., Crash Course in Artificial Intelligence and Expert System”, Howard W.Sams & Co.,1986 4. Robert J. Schallkoff, Artificial Intelligence : An Engineering Approach, McGraw-Hill, 1990 5. Elaine Rich and Kevin Knight, Artificial Intelligence, McGraw-Hill, 1991

6

I.5. TF5214 Identifikasi Sistem Kode Kuliah TF5214

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah keahlian Identifikasi Sistem Systems Identification Membahas konsep identifikasi sistem, penurunan model matematik secara teoritis dan eksperimental, masalah-masalah pada proses identifikasi suatu sistem, klasifikasi metoda identifikasi, metoda parametrik dan nonparametrik, identifikasi sistem multivariabel, contoh aplikasi, model matematik sistem dinamika dalam waktu kontinu dan diskrit, regresi linier, konvergensi dan konsistensi, metoda kuadrat terkecil, metoda rekursif (RLS), beberapa sifat estimator RLS, estimasi sistem dengan parameter yang berubah, validasi model dan estimasi struktur, identifikasi sistem lup tertutup, aspek-aspek praktis dalam identifikasi sistem Introduction to systems identification, theortical and experimental based mathematical modelling, problems in system identification, classification of identification methods, parametrics and non-parametrics methods, multivariable system identification, application examples, mathematical model of dynamic systems in continous and discrete-time, linear regression, convergence and consistency, least-square method, recursive least-square (RLS), characteristics of RLS estimator, parameter estimation of time-variant systems, model validation and structure estimation, closed-loop identification, practical aspects in systems identification 1. L. Ljung and T. Soderstrom, Theory and Practice of Recursive Identification, MIT Press, 1983 2. L. Ljung, System Identification: Theory for the User, Prentice-Hall Inc., 1987. 3. I.D. Landau, System Identification and Control Design, Prentice-Hall Inc., 1990 4. G.E.P. Box and G.M. Jenkins, Time Series Analysis: Forecasting and Control, Revised Edition, Holden-Day, Inc., 1976

7

I.6. TF6111 Fisika Instrumentasi Kode Kuliah TF6111

Kredit : 2 SKS


References Acuan


Semester: 1


Sifat: Wajib

Kuliah MK Dasar Engineering Fisika Instrumentasi Physics of Instrumentation Atom dan tingkat energi, absorpsi dan emisi, pembangkit sinar laser. Efek Zeeman, resonansi magnetic inti dan penggunaanya. Pita energi semi konduktor, foto dioda, light emitting diode, laser dioda. Perambatan gelombang elektromagnetik, pandu gelombang. Gelombang elastik dalam bahan padat, cair, gas dan kaitannya dengan pengukuran. Atom and energy level, absorption and emission, laser beam generator. Zeeman effect, core magnetic resonance and its application. Energy band of semiconductor, photodiode, light emitting diode, laser diode. Electromagnetic wave propagation, wave guide. Elastic wave in solid, fluid, gas and its relation with measurement. 1. Arthur Beiser, Concepts of Modern Physics, 4th edition, McGraw-Hill International, 1987 2. Wildon and J.F.B. Hawkes, Optoelectronics : An Introduction, Prentice-Hall,1983 3. William C. Elmore dan Mar.A. Heald, Physics of Waves, DoverPubl., 1985

8

I.7. TF6113 Sistem Pengukuran Kode Kuliah TF6113

Kredit : 3 SKS


References Acuan


Semester: 1


Sifat: Wajib

Kuliah MK Dasar Engineering Sistem Pengukuran Measurement Systems Respons umum instrumen terhadap input periodik. Respons umum instrumen terhadap input transien. Spektrum frekuensi pada sinyal modulasi amplituda. Karakteristik sinyal random. Persyaratan fungsi transfer instrumen untuk hasil pengukuran yang akurat. Koreksi numerik untuk data dinamik. Instrumen Ukur: Seismic-pickup, accelerometer, jerk pick-up, sensor displacement dan kecepatan sudut gyroscopic, pengukuran gaya dan torsi gyroscopic, dinamika microphone, hotwire anemometer untuk pengukuran harga rata2 dan fluktuasi kecepatan aliran, alat ukur temperatur gas yang sangat tinggi, alat ukur temperatur dengan metoda radiasi. Masalah pada pengukuran temperatur aliran fluida. Intelijen sensor. Response of instruments to periodic and transient inputs. Spectrum frequency of amplitude modulated signal. Random signal characteristics. Requirements of transfer function of an instrument for accurate measurement. Numerical correction for dynamic data. Measuring instruments : seismic-pickup, accelerometer, jerk pick-up, sensor displacement and angle displacement, gyroscopic angle velocity, force measurement and gyroscopic torque, dynamic of microphone, hotwire anemometer for average value measurement and flow velocity fluctuation, measuring device for very high temperature, temperature measurement based-on radiation method. Problems in temperature measurement of fluid flow. Intelligent sensors 1. Ernest O. Doebelin, Measuring Systems : Design and Application, McGraw-Hill Book Co., 1990 2. Ryoji Ohiba (editor), Intelligent Sensor Technology, John Wiley & Sons, 1992 3. Bentley J.P., Principle of Measurement Systems, Longman Group Limited, 3rd edition, 1985 4. Yamasaki H. (editor), Handbook of Sensors and Actuators, Intelligent Sensors, vol. 3, Elsevier, 1996

9

I.8. TF6115 Sistem Linier Kode Kuliah TF6115

Kredit : 3 SKS


References Acuan


Semester: 1


Sifat: Wajib

Kuliah MK Dasar Engineering Sistem Linier Linear Systems Konsep sistem linier; fungsi-fungsi singular, fungsi delta dengan argumen fungsi lain, hubungan input-output, konsep linieritas, kausalitas, relaxedness, stasionaritas, dekomposisi signal dalam fungsi-fungsi singular, respons sistem dengan integral konvolusi, evaluasi integral konvolusi, fungsi sistem dan representasi domain frekuensi, konvolusi diskrit dan transformasi Z, analisis persamaan ruang keadaan, pemodelan sistem linier menggunakan representasi ruang keadaan, bentuk-bentuk kanonik, diagonal dan Jordan, solusi persamaan ruang keadaan, transformasi, konsep keterkontrolan dan keteramatan, analisis sistem umpan balik variabel keadaan linier Introduction, singular functions, delta function with other functions argument, input-output relation, linearity concepts, causality, relaxedness, stationarity, signal decomposition in singular functions, system response using convolution integral, evaluation of convolution integral, system function and frequency domain representation, discrete convolution amd ztransformation, state-space analysis, modelling of linear system using state-space representation, canonical forms, diagonal and Jordan forms, solution of state-space equation, transformation, controllability and observability, analysis of linear state variable feedback 1. Gabel R.A. and Roberts R.A., Signal and Linier Systems, John Wiley & Sons, 1995. 2. Michael O Flynn and Eugene Moriarty, Linear Systems: Time Domain and Transform Analysis, John Wiley & Sons, 1987. 3. Thomas Kailath, Linear Systems, Prentice-Hall Inc., 1980

10

I.9. TF6212 Teknik Optimasi Kode Kuliah TF 6212

Kredit : 2 SKS


References Acuan


Semester: 2


Sifat: Wajib

Kuliah MK Dasar Engineering Teknik Optimasi Optimization Technique Pendahuluan : tinjauan umum optimasi, perumusan fungsi obyektif, klasifikasi persoalan optimasi; Teknik Optimasi Klasik : analisis titik ektsremum, optimasi single variable, optimasi multivariabel tanpa kendala, optimasi multivariabel dengan kendala; Pemrograman Linier; Pemrograman Non-linear; Pemrograman Geometrik; Pemrograman Dinamik; Pemrograman Integer. Introduction: general objectives of optimization, objective function formulation, classification of optimization problems. Classical optimization techniques : extremum point analysis, single-variable optimization, multivariable optimization with and without constraints. Linear programming. Dynamic programming. Integer programming. Introduction to nonlinear and stochastic programming. Jasbir S.Arora, Introduction to Optimum Design, McGraw-Hill, Inc.,1989 1. S.S.Rao, Optimization : Theory and Application, 2nd edition, Wiley Eastern Ltd.,1984 2. Edgar and D.M. Himmelblau, Optimization of Chemical Processes, McGraw-Hill, Inc.,1989 3. Saul I.Gass, Linear Programming,5th edition,McGrawwHill,Inc.,1985 4. Alpha C. Chang, Elements of Dynamic Optimization, McGraw-Hill, Inc.,1992

11

I.10. TF6214 Proses Stokastik Kode Kuliah TF6214

Kredit : 2 SKS


References Acuan


Semester: 2


Sifat: Wajib

Kuliah MK Dasar Engineering Proses Stokastik Stochastic Process Arti probabilitas, aksioma probabilitas, ruang probabilitas, probabilitas bersyarat, Bernoulli trials, teorema asimptotis, fungsi dan variabel acak, fungsi karakteristik, variabel acak dua dimensi, estimasi kuadrat rata-rata, proses stasioner, sistem dengan masukan stokastik, spektrum daya, ergodicity, estimasi spektral, korelasi. Probability theory, probability axiom, probability space, probability with constraint, Bernoulli trials, asymptotic theorem, random variable and function, characteristics function, two dimensional random variable, least-square estimation, stationary process, system with stochastic input, power spectrum, ergodicity, spectral estimation, correlation 1. Papoulis A., Probability, Random Variables, and Stohastic Processes, 3rd Edition, McGraw-Hill, 1991. 2. Gardner, W.A, Introduction to Random Processes: With Application to Signals and Systems, Macmillan Pub. Co., 1986

12

I.11. TF6216 Sistem Instrumentasi Kode Kuliah TF6216

Kredit : 3 SKS


References Acuan


Semester: 2


Sifat: Wajib

Kuliah Matakuliah Keahlian Sistem Instrumentasi Instrumentation Systems Lingkup sistem instrumentasi. Karakteristik sistem instrumentasi yang tergantung pada karakteristik masing2 komponen, seperti sistem proses, sistem pengukuran, sistem kontrol, aktuator, dsb. Sistem kontrol terdistribusi (DCS). Instrumentasi pada berbagai industri. Instrumentasi pada sistem robot, sistem deteksi posisi target, sistem intelijen building, sistem pesawat udara. Instrumentasi intelijen: deteksi kesalahan sensor (perangkat lain), sistem redundansi. Reliability pada sistem instrumentasi: definisi notasi pada relibility sistem, sistem paralel dan serial, reliabilty pada sistem tanpa perbaikan dan sistem yang dapat diperbaiki, perhitungan reliability sistem instrumentasi dengan metoda pohon kesalahan dan metoda Markov. Scope of instrumentation system. Characteristics of instrumentation system which depend on each components, i.e. process, measurement system, control system, actuator, etc.. Distributed Control System (DCS). Industrial instrumentation. Instrumentation in robotics, detection of targeted position, intelligent building, aeroplane, etc.. Intelligent instrumentation : detection of sensor error (other devices), redundancy system. Reliability in instrumentation system : definition, parallel and serial system, realibility for system repairable and unrepairable, reliability calculation of instrumentation system using error tree and Markov method Tasuku Senbon, Futoshi Hanabuchi, Instrumentation Systems, Fundamental & Application, Springer-Verlag, 1991 1. Yamasaki H. (editor), Handbook of Sensors and Actuators, Intelligent Sensors, vol. 3, Elsevier, 1996 2. Kececioglu Dimitri, Reliability Engineering Handbook, Volume 1 and 2, PTR Prentice Hall, 1991

13

I.12. TF6218 Teori Kontrol Automatik Kode Kuliah TF6218

Kredit : 3 SKS


References Acuan


Semester: 2


Sifat: Wajib

Kuliah Matakuliah Keahlian Teori Kontrol Automatik Automatic Control Theory Pengantar; Pemodelan sistem-sistem Fisis; Unjuk kerja dan analisis sistem, Aksi pengontrol PID dan analisis kesalahan; Stabilitas sistem kontrol, Metoda root-locus dan respons frekuensi; Pemodelan sistem dengan menggunakan metoda ruang keadaan, Konsep keterkontrolan dan keteramatan, Pengontrol umpan balik variabel keadaan; Penggunaan observer sebagai estimator variabel keadaan; Estimasi dan pemfilteran optimal; Kontrol optimal linier stokastik; Studi kasus penerapan kontrol automatik Introduction; Physical system modelling; Performance and system analysis; PID controller action and error analysis; Stability of control system; Root-locus method and frequency response; System modelling using state-space representation; Controllability and observability; State-variable feedback; Estimation and optimal filtering; Linear stochastic optimal control; Case studies 1. Ogata, K., Modern Control Engineering, Prentice-Hall Inc., Englewood Cliffs, New Jersey, 1997 2. Kuo, B.C., Automatic Control Systems, Prentice-Hall Inc., Englewood Cliffs, New Jersey, 1997 3. Friedland, B., Control System Design - An Introduction to State-Space Methods, McGraw-Hill, New York, 1986 4. Lewis, F.L., Optimal Control, John Wiley and Sons Inc., New York, 1986 5. Kwakernaak, H. and Sivan, R., Linear Optimal Control Systems, Wiley Interscience, New York, 1972

14

I.13. TF70Z1 Penelitian I Kode Kuliah TF70Z1

Kredit : 2 SKS


Semester: 2/3


Sifat: Wajib

Tesis Matakuliah Keahlian Penelitian I Research I Pelaksanaan tahap awal tugas penelitian (Tesis) berdasarkan proposal penelitian yang telah disetujui pembimbing pada Semester I (Kuliah Metoda dan Manajemen Riset, TF8111). Initial working of research project (thesis) based on research proposal which has been accepted by the supervisor at 1st Semester (Course on Method and Management of Research, TF8111)

References Acuan


15

I.14. TF70Z2 Penelitian II Kode Kuliah TF70Z2

Kredit : 4 SKS


Semester: 3/4


Sifat: Wajib

Tesis Matakuliah Keahlian Penelitian II Research II Lanjutan Penelitian I sampai dengan penyusunan laporan penelitian dan ujian hasil penelitian di depan tim penguji. Continuation of Research I Course until the research report finalization and thesis presentation in the front of examinee.

References Acuan


16

I.15. TF7111 Kontrol Adaptif Kode Kuliah TF7111

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Kontrol Adaptif Adaptive Control Pendahuluan: persoalan kontrol otomatik, struktur kontrol adaptif; Identifikasi Model Proses: struktur model, metoda kuadrat terkecil, identifikasi secara off-line dan rekursif; Model Reference Adaptive Control Systems; Self-tuning Regulator & Controller; Analisis Sistem Kontrol Adaptif; Kontrol Adaptif untuk Sistem Stokastik; Aspek-aspek dalam implementasi. Introduction : problems of automatic control, structures in adaptive control; Identification of Process Model : model structure, least-square method, off-line and recursive identification; Model Reference Adaptive Control; Self-tuning Regulator and Controller; Analysis of Adaptive Control System; Adaptive Control for Stochastic Systems; Aspects in Implementation ID. Landau, Adaptive Control: The Model Reference Approach, Marcel Dekker, Inc., 1979 1. KJ. Astrom and B. Witenmark, Adaptive Control, AddisonWesley Pub Co., 1989 2. KJ. Astrom and B. Wittenmark, Computer-Controlled Systems: Theory and Design, Prentice-Hall, Inc., 1990 3. GC. Goodwin and KS. Sin, Adaptive Filtering, Prediction and Control, Prentice-Hall, Inc., 1984. 4. Harijono A. Tjokronegoro, Kontrol Adaptif, Jurusan Teknik Fisika ITB, 1999

17

I.16. TF7113 Sistem Inteligensia Buatan Kode Kuliah TF7113

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Sistem Inteligensia Buatan Artificial Intelligence System Pengertian inteligensia buatan, Bidang-bidang penelitian inteligensia buatan; Representasi pengetahuan : ekspresi logika, logika proposional dan kalkulus predikat, list dan struktur pohon, frame dan script, kaidah produksi; Teknik Pelacakan : teknik pelacakan trial and error, teknik pelacakan sistematis, teknik pelacakan vertikal dan horizontal, teknik pelacakan heuristik; Bahasa pemrograman prolog; Sistem pakar dan penggunaannya; Jaringan syaraf tiruan dan penggunaannya; Logika fuzzy dan penggunaannya. Introduction, research areas of artificial intelligence; Knowledge representation ; logic expression, proportional logic and predicate calculus, list and tree structure, frame and script, production rules; Search Technique : search technique by trial and error, systematic search technique, vertical and horizontal search technique, heuristics search technique; Programming language Prolog; Expert Systems and ist application; Artificial Neural Network and its application; Fuzzy Logic and its application 1. Rich and K. Knight, Artificial Intelligence, McGraw-Hill Book Co., 1991 2. Kosko, Neural Networks and Fuzzy Systems, Prentice Hall, 1992 3. Frenzel Jr, L.E., Crash Course in Artifial Intelligence and Expert System, Howard W. Sams & Co., 1986

18

I.17. TF722A Instrumentasi Ultrasonik Kode Kuliah TF722A

Kredit : 2 SKS


References Acuan


Semester: 2/4

KBK/Bidang Sifat: Pilihan Keahlian: Fisika Bangunan dan Akustik

Kuliah Matakuliah Keahlian Intrumentasi Ultrasonik Ultrasonic Instrumentation Teori gelombang ultrasonik; Metoda-metoda pengukuran atenuasi dan kecepatan gelombang ultrasonik; Sistem dan perangkat pengukuran ultrasonik; Aplikasi ultrasonik di bidang instrumentasi dan kontrol; Pemrosesan sinyal ultrasonik. Theory of utrasonic wave; Measurement methods of attenuation and speed of ultrasonic wave; Ultrasonic system and measurements devices; Ultrasonic application in the field of instrumentation and control; Ultrasonic signal processesing Kinsler, L.E., A.R. Frey, A.B. Coppens and J.V. Sanders, Fundamentals of Acoustics, John Wiley & Sons, Inc., New York, 2000. Szilard, J., Ultrasonic Testing : Non-conventional Testing Techniques, John Wiley & Sons, New York, 1982. 1. Charlesworth J.P. and Temple J.A.G., Engineering Applications of Ultrasonic Time-of-Flight Difraction, John Wiley & Sons Inc., New York, 1989. 2. Fitting, D.W. and L. Adler; Ultrasonic Spectral Analysis for Non Destructive Evaluation, Plenum Press, New York, 1981. 3. Lynnworth, L.C., Ultrasonic Flowmeter : Physical Acoustics, Vol. XIV, Academic Press, New York, 1979. 4. Lynnworth, L.C., Industrial Application of Ultrasound : Measurements, Tests and Process Control Using Low Intensity Ultrasound, IEEE Transaction on Sonics and Ultrasound, Vol. SU-22, No. 2, March 1975. 5. Berkhout, A.J., J. Ridder and L.F. van der Wal, Acoustical Imaging, Vol. 14, Plenum Press, New York, 1985.

19

I.18. TF7212 Sistem Kontrol Nonlinier Kode Kuliah TF7212

Kredit : 2 SKS


References Acuan


Semester: 2/4


Sifat: Pilihan

Kuliah Matakuliah Keahlian Sistem Kontrol Nonlinier Nonlinear Control Systems Pengantar, model non-linier, analisis energi sistem nonlinier, kestabilan sistem nonlinier, metode Liapunov, sistem pasif, pengontrolan sistem pasif, contoh kasus Introduction; nonlinear model; energy analysis of nonlinear system; stability analysis of nonlinear system; Lyapunov method; passive system; control of passive system; case studies Hasan A. Khalil, Nonlinear Systems, 2nd Eds., Prentice Hall, 1996. 1. Romeo Ortega, et al, Putting Energy Back in Control, IEEE Control System Magazine, April 2001. 2. Mark Tucherman, The Hamiltonian Formulation of Classical Mechanics, www.nyu.edu/class/tucherman/stat.mech/lectures/lecture_1/n ode4, 2002. 3. Mark Tucherman, The Lagrangian Formulation of Classical Mechanics, www.nyu.edu/class/tucherman/stat.mech/lectures/lecture_1/n ode3, 2002.

20

I.19. TF7214 Sistem Online dan Real-time Kode Kuliah TF7214

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Sistem Online dan Real-time Online and Real-time Systems Pengantar : konsep perancangan dan struktur pengembangan sistem kontrol waktu nyata; konfigurasi sistem kontrol berkomputer; perangkat keras untuk sistem kontrol waktu nyata; sistem kontrol digital langsung; sistem kontrol supervisory, terpusat, terdistribusi dan sekuensial; programmable logic controller; sistem operasi dan pemrograman waktu nyata; pemrograman konkuren, multiprogramming dan multitasking aspek operasi waktu nyata; bahasa waktu nyata; sistem komunikasi; konfigurasi dan protokol komunikasi; local area network; man-machine interface; contoh-contoh kasus Introduction : design concepts and development structure of real-time control system; computer controlled system configuration; hardware for real-time control; direct digital control system; supervisory, centralized, distributed and sequential control system; programmable logic controller; operating system and real-time programming; concurrent programming; multiprogramming and multitasking; real-time language; communication system; configuration and communication protocol; local area network; man-machine interface; case studies 1. Bennet S., Real-time Computer Control : An Introduction, Prentice-Hall Inc , 1988 2. Olsson G. dan Piani G., Computer Systems for Automation and Control, Prentice-Hall Inc., 1992. 3. Astrom K.J. and Wittenmark B., Computer Controlled Systems : Theory and Design, Prentice-Hall Inc., 1990

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I.20. TF8111 Metoda dan Manajemen Riset Kode Kuliah TF8111

Kredit : 2 SKS


References Acuan


Semester: 1


Sifat: Wajib

Kuliah MK Dasar Engineering Metoda dan Manajemen Riset Method and Management of Research Teknik menyusun proposal penelitian, teknik menulis laporan penelitian, teknik presentasi laporan penelitian, kode etika peneliti dan penelitian Techniques in research proposal preparation; techniques in research report writing; techniques in research report presentation; researchers and research code of ethics 1. Pedoman Format Penulisan Disertasi, Institut Teknologi Bandung, Pedoman Pascasarjana, 1998 2. Pedoman Singkat Penyusunan Usulan Penelitian, Institut Teknologi Bandung, Program Pascasarjana, 1997 3. Mike W.Martin, Roland Schinzinger, Ethics in Engineering, McGraw-Hill Co.,1996

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I.21. TF8113 Pemrosesan Sinyal Lanjut Kode Kuliah TF8113

Kredit : 2 SKS


References Acuan


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Pemrosesan Sinyal Lanjut Advanced Signal Processing Sinyal acak, konsep estimasi (MSE, MAP, MLE), estimasi spektral nonparametrik; pemodelan sinyal (AR, MA, ARMA), ruang keadaan, estimasi spektral parametrik, estimasi keadaan (Kalman Filter, Wiener Filter), konsep pemrosesan sinyal adaptif, estimasi parameter sinyal, estimasi spektral adaptif, adaptive noise rejection (adaptive noise canceling) Random signal, concept of estimation (MSE, MAP, MLE), nonparametric spectral estimation, signal modeling (AR, MA, ARMA), state-space, parametric spectral estimation, state estimation (Kalman Filter, Wiener Filter), concept of adaptive signal processing, signal parameter estimation, adaptive spectral estimation, adaptive noise rejection (adaptive noise canceling) 1. J.V.Candy, Signal Processing- The Modern Approach, McGraw-Hill Book Co., 1988 2. S.J.Orfanidis, Optimum Signal Processing, PrenticeHall,Inc., 1988 3. Harijono A.Tjokronegoro, Pengolahan Sinyal, Catatan Kuliah, Jurusan Teknik Fisika ITB,1999

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I.22. TF8115 Pemodelan dan Simulasi Kode Kuliah TF8115

Kredit : 2 SKS


Semester: 3


Sifat: Pilihan

Kuliah Matakuliah Keahlian Pemodelan dan Simulasi Modeling and Simulation Dasar pemodelan dan simulasi. Macam model matematis system : diskrit dan kontinu. Pemodelan dan simulasi sistem diskrit : sistem antrean, pemilihan distribusi probabilitas, generator random number, analisis data untuk sistem tunggal, studi kasus. Pemodelan dan simulasi sistem kontinu : representasi matematis untuk sistem fisika kontinu, model matematis sistem enjinering kimiawi, simulasi komputer, identifikasi proses. Formulasi persamaan keadaan diskrit dari persamaan keadaan kontinu, integrator diskrit sebagai elemen transfer. Metoda operasional untuk mensimulasikan sistem linier stasioner. Aplikasi metoda operasional pada sistem nonlinier dan sistem yang time varying. Basic modeling and simulation. Mathematical model of system : discrete and continous. Modeling and simulation of discrete systems : queuing system, probability distribution, random number generatir, data analysis for single systems, case studies. Modeling and simulation of continous syetms : mathematical representation of continous physical systems, mathematical model of chemical systems; computer simulation, process identification. Formulation of discrete-time equation from continous time equation, discrete-time integrator as transfer element. Operational method for simulation stationary linear system. Application of operational method to the nonlinear system and time-varying systems


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eferences Acuan


1. Joseph S. Rosko, Digital Simulation of Physical Systems, Addison Wesley Publ .Co., 1972. 2. Jon M. Smith, Mathematical Modeling and Digital Simulation for Engineers and Scientists, John Wiley & Sons, 1976. 3. Law A.M., Kelton D.W., Simulation Modeling and Analysis, 2nd edition, McGraw-Hill International Edition, 1991 4. Lowen Shearer, Arthur T. Murphy and Herbert H. Richardson, Introduction to System Dynamics, AddisonWesley Pub. Co., 1971. 5. Law A.M. & Hilton W.D. Simulation, Modelling & Analysis, McGraw-Hill International Edition

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I.23. TF8212 Estimasi dan Pemfilteran Kode Kuliah TF8212

Kredit : 2 SKS


References Acuan


Semester: 4


Sifat: Pilihan

Kuliah Matakuliah Keahlian Estimasi dan Pemfilteran Estimation and Filtering Pendahuluan : model linier; estimasi Kuadrat Terkecil; best linear unbiased estimation, maximum likelihood estimation; maximum a-posteriori estimation; estimasi keadaan : prediction, filtering (Kalman Filter), smoothing. Introduction : linear model; Least Square estimation; best linear unbiased estimation, maximum likelihood estimation; maximum a-posteriori estimation; state estimation: prediction, filtering (Kalman Filter), smoothing BDO. Anderson and JB. Moore, Optimal Filtering, PrenticeHall, Inc., 1979 1. Peter S. Maybeck, Stochastics Models, Estimation, and Control, Academic Press, 1979

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I.24. TF8242 Instrumentasi Optik dan Laser Kode Kredit : Semester: 3 KBK/Bidang Sifat: 2 SKS Pilihan Kuliah Keahlian: TF8242 Optik Kuliah Sifat kuliah Matakuliah Keahlian Kelompok Kuliah Instrumentasi Optik dan Laser Course Title (Indonesian) Nama Matakuliah Optical Instrumentation and Laser Course Title (English) Nama Matakuliah Film fotografi: karakteristik film, kegunaan film; Aplikasi sinar Short Description laser : sifat sinar laser, pemanfaatan sifat terarah, perambatan Silabus ringkas melalui distribusi indeks bias, giroskop laser; Holografi : pembentukan hologram, jenis-jenis hologram, holografi interferometri, pembentukan kontur obyek; Sensor serat optik : prinsip serat optik, sensor extrinsik, sensor intrinsik, giroskop serat optik.

References Acuan


Photography film : film characteristics, the use of film; Laser beam application; characteristics of laser beam, coherency characteristics, propragation through bias index distribution, laser gyroscope; Holography : hologram forming, type of hologram, interferometry holography, forming contour of an object; Fiber optics sensor : principles, extrinsic and intrinsic sensors, fiber optics gyroscope 1. Yu dan I.C. Khoo, Principles of Optical Engineering, John Wiley & Sons, Singapore (1990) 2. Lizuka, Engineering Optics, Springer-Verlag, Berlin (1987) 3. Krohn, Fiber Optic Sensors, Instrument Society of America, Triangle Park (1988)

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I.25. MA6173 Matematika Lanjut Kode Kredit : Semester: 1 KBK/Bidang Sifat: 2 SKS Wajib Kuliah Keahlian: MA6173 Umum Kuliah Sifat kuliah MK Dasar Science Kelompok Kuliah Matematika Lanjut Course Title (Indonesian) Nama Matakuliah Advanced Mathematics Course Title (English) Nama Matakuliah Keilmuan kontrol atau kendali seringkali memodelkan sistem Short Description dalam bentuk sistem dinamik yang dinyatakan dalam sebuah Silabus ringkas sistem persamaan diferensial. Dengan dasar ini, kami berpendirian bahwa peserta program magister yang menggeluti bidang kontrol sudah selayaknya memahami dasar-dasar sistem persamaan diferensial. Pada saat yang sama, kami sadar bahwa pemahaman dalam sistem persamaan diferensial perlu didukung beberapa dasar matematika seperti aljabar linear dan kalkulus vektor. Oleh karenanya, dalam kuliah ini, peserta diharapkan mampu mengembangkan pemahamannya pada dasar-dasar matematika lanjut di atas serta mengaitkan pemahaman tersebut pada sistem kontrol. Khususnya, peserta dapat membekali dirinya dalam pengetahuan serta ketrampilan yang berkaitan dengan solusi sistem persamaan diferensial linear.

References Acuan


The knowledge of control often needs to model the system in the form of dynamical system represented in system of differential equation. Based on this, the students of the magister program concentrating with the control subject have to understand the basic of system of differential equation. At the same time, the understanding on system of differential equation should be supported by some basic of mathematics such as linear algebra and vector of calculus. Therefore, in this subject, the students are expected to develop their understanding on the above basics of advanced mathematics and relate the understanding with the control system. In particular, the students should enhance themselves with the knowledge and skills related with the solution of system of linear differential equation 1. Perko, L., Differential Equations and Dynamical Systems, Text in Applied Mathematics, 7, Springer-Verlag

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SILABUS SINGKAT MATAKULIAH PROGRAM MAGISTER INSTRUMENTASI DAN KONTROL FAKULTAS TEKNOLOGI INDUSTRI INSTITUT TEKNOLOGI BANDUNG

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