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Systems and Control Theory Lecture Notes

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L. Giarr´e 2017-2018

Systems and Control Theory Lecture Notes

Laura Giarr´ e

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Course Objectives

 The course addresses dynamic systems, i.e., systems that evolve with time.

 It is of interest to understand how the input is related to the output and how to introduce the notion of state.

 We will concentrate on LTI systems, deterministic and stochastic.

 We will analyze the main properties such as stability or interconnection and minimality.

 We will learn how to design systems that ensure desirable properties, and how to identify parameters from collected data.

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Outline & Goal

 Introduction

L. Giarr´e- Systems and Control Theory 2017-2018 - 3

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Outline & Goal

 Introduction

 Analysis of Deterministic and Stochastic Systems

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Outline & Goal

 Introduction

 Analysis of Deterministic and Stochastic Systems

 State space and Time series modeling

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Outline & Goal

 Introduction

 Analysis of Deterministic and Stochastic Systems

 State space and Time series modeling

 Properties (Stability, Structural)

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Outline & Goal

 Introduction

 Analysis of Deterministic and Stochastic Systems

 State space and Time series modeling

 Properties (Stability, Structural)

 Filtering and Controlling

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Outline & Goal

 Introduction

 Analysis of Deterministic and Stochastic Systems

 State space and Time series modeling

 Properties (Stability, Structural)

 Filtering and Controlling

 Identification and estimation from data

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Tests and Grading

Tests There will be one exam divided into two parts: Midterm Exam A (Nov 3, 2017)

Midterm Exam B (Dec 20, 2017) or one Final Exam (A+B)

+ One test in Matlab (Home).

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Tests and Grading

Tests There will be one exam divided into two parts: Midterm Exam A (Nov 3, 2017)

Midterm Exam B (Dec 20, 2017) or one Final Exam (A+B)

+ One test in Matlab (Home).

Grading 2 midterm tests (40%+ 40%)+Matlab test (20%) or 1 final exam (80%)+ Matlab test (20%).

The oral test is not mandatory, but upon student request (maximum it will allow +/- 10% of final grading).

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Materials

Material You can download slides and material (lecture notes) at https://giarre.wordpress.com/sc/

(credits: Prof. Dahleh, Frazzoli (MIT), Prof. Zappa, Basso (UniFi), Prof. Garulli (UniSi))

Books

Dynamic Systems and Control

 M. Dahleh M. A. Dahleh G. Verghese https://ocw.mit.edu/courses/electrical-engineering-and- computer-science/6-241j-dynamic-systems-and-control-spring-2011/readings/

 Luenberger, David. Introduction to Dynamic Systems: Theory, Models, and Applications. Wiley, 1979. ISBN: 9780471025948.

 Kailath, Thomas. Linear Systems. Prentice Hall, 1980. ISBN: 9780135369616.

System Identification

 M. A. Dahleh https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-435- system-identification-spring-2005/lecture-notes/

 Ljung, Lennart. System Identification: A Theory for the User. 2nd ed Prentice Hall, 1998. ISBN:

0136566952.

 T. S. Soderstrom, P. G. Stoica. System Identification, 1989.

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Tentative Schedule

LEC DATES TOPICS

1 (2) 18/09 Introduction to dynamic systems and control 2 (2) 20/09 Least squares error solutions

3 (2) 21/09 Matrix norms and SVD 4 (2) 25/09 Dynamical Models

5 (2) 28/09 State-space models - Linearization 6 (2) 2/10 Response of LTI systems

7 (2) 4/10 Response in the Transform domain 8 (2) 5/10 Similarity Transformation

Solution in Modal Coordinates 9 (2) 9/10 Stochastic Processes and systems

10(2) 11/10 Stochastic and Deterministic Dynamical System AR, MA, ARMA

11(4) 16/10 Stability, Lyapunov methods 12(2) 18/10 External I/O stability

13 (2) 23/10 Response of stochastic systems

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Tentative Schedule

LEC DATES TOPICS

14 (2) 13/11 Reachability 15 (2) 15/11 Modal Aspects 16 (2) 16/11 Observability

17 (4) 20/11 Model Based Controller 18 (2) 22/11 Minimal State realization 19 (4) 27-29/11 Estimation (LS,BLUE,RLS) 20 (4) 30/11 4/12 Kalman Filtering

21 (2) 5/12 Identification

22 (2) 6/12 Identification in practice Model Validation

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Thanks

DIEF- laura.giarre@unimore.it Tel: 059 2056322

giarre.wordpress.com

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