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This is the course homepage for CDS 131, Fall 2019. This course is intended for first year graduate students in controls, advanced undergraduates in EE, ChE, and ME who have taken a basic controls course (e.g., CDS 110, ChE 105, EE 113), and motivated graduate students in other disciplines would would like to learn more about linear systems and control. All students taking the course should also have a good understanding of (matrix) differential equations and linear algebra.

Catalog Description

CDS 131. Linear Systems Theory. 9 units (3-0-6); first term. Prerequisites: Ma 1b, Ma 2, ACM/IDS 104 or equivalent (may be taken concurrently). Basic system concepts; state-space and I/O representation. Properties of linear systems, including stability, performance, robustness. Reachability, observability, minimality, state and output-feedback. Instructor: Murray.

Lecture Schedule There will be 2-3 one hour lectures per week, with the specific days varying from week-to-week. The lecture days for each week will be announced in class and posted here at least 1 week in advance. Reading: Opt = optional reading (useful if you are confused and trying to understand the basic concepts) Rec = recommended reading (this is what the homework is based on) Adv = advanced reading (more detailed results, useful if you are interested in learning more)

Announcements 31 Oct 2019: Revised course notes with some small updates in Chapter 5 (Template:Cds131 fa19 pdf. 27 Oct 2019: Revised course notes have been updated to include W5 material (Template:Cds131 fa19 pdf; no significant changes in Ch 1-4) 19 Oct 2019: Revised course notes have been updated to include W4 material (Template:Cds131 fa19 pdf; no significant changes in Ch 1-3)

Date	Topic	Reading	Homework
Week 1 30 Sep 2 Oct 4 Oct*	Introduction and review Course logistics Norms of signals in continuous (and discrete) time I/O systems, LTI systems Induced system norms	Opt: FBS2e Ch 1 and 2 Rec: FBS2s Ch 1 (or DFT Sec 2.1‑2.4) Adv: Sontag, Ch 2	Template:Cds131 fa19 pdf Out: 2 Oct Due: 9 Oct Template:Cds131 fa19 pdf (Caltech only)
Week 2 7 Oct 9 Oct 11 Oct	Linear I/O systems Differential and difference equations (with inputs and outputs, including disturbances and noise) Linearized system dynamics Stability of equilibrium points, I/O stability Convolution equation, impulse response	Opt: FBS2e Ch 3; DFT Sec 2.6 Rec: FBS2e Sec 5.1‑5.3, 6.1‑6.3; FBS2s Ch 2 Adv: Sontag Sec C.4, 2.6	Template:Cds131 fa19 pdf Out: 9 Oct Due: 16 Oct Template:Cds131 fa19 pdf (Caltech only)
Week 3 14 Oct 16 Oct 18 Oct*	Reachability Definitions (reachability, stabilizability) Characterization and rank tests (Grammian, PBH) Decomposition into reachable/unreachable subspaces Eigenvalue placement theorem	Rec: FBS2e Sec 7.1, 7.2; FBS2s Ch 3 Adv: FBS2e Sec 7.3; Sontag Sec 3.1‑3.3, 3.5	Template:Cds131 fa19 pdf Out: 16 Oct Due: 23 Oct Template:Cds131 fa19 pdf (Caltech only)
Week 4 21 Oct 23 Oct 25 Oct*	State feedback Optimization and optimal control Linear quadratic regulator (including Ricatti equation)	Opt: FBS2e Sec 7.5 Rec: FBS2s Ch 4 (= OBC Ch 2) Adv: Sontag Sec 8.1‑8.3, 9.1, 9.2	Template:Cds131 fa19 pdf Out: 23 Oct Due: 30 Oct Template:Cds131 fa19 pdf (Caltech only)
Week 5 28 Oct 30 Oct* 1 Nov	Observability and state estimation Definitions (observability, observable subspace) Characterization and rank tests Kalman decomposition Linear observers (full-state)	Rec: FBS2e Sec 8.1-8.3; FBS2s Ch 5 Adv: Sontag Sec 6.1‑6.3, 7.1	Template:Cds131 fa19 pdf Out: 30 Oct Due: 6 Nov Template:Cds131 fa19 pdf (Caltech only)
Week 6 4 Nov 6 Nov 8 Nov*	Frequency domain analysis Internal stability Tracking, disturbance rejection I/O performance	Opt: FBS2e Sec 9.1, 9.2 and 9.5, Sec 10.1-10.2, Sec 12.1-12.2 Rec: DFT Ch 3 Adv: Lewis Ch 5-8	Template:Cds131 fa19 pdf Out: 6 Nov Due: 13 Nov Template:Cds131 fa19 pdf (Caltech only)
Week 7 11 Nov 13 Nov 15 Nov*	Uncertainty and robustness Types of uncertainty: parametric, operator, disturbances/noise Robust stability and robust performance	Opt: FBS2e Sec 10.3, Sec 13.1-13.3 Rec: DFT Ch 4	Template:Cds131 fa19 pdf Out: 13 Nov Due: 20 Nov Template:Cds131 fa19 pdf (Caltech only)
Week 8 18 Nov 20 Nov* 22 Nov	Stabilization Coprime factorization Youla parameterization Strong stabilization Simultaneous stabilization, robust stabilization (gap metric) [if time]	Rec: DFT Ch 5	Template:Cds131 fa19 pdf Out: 20 Nov Due: 27 Nov Template:Cds131 fa19 pdf (Caltech only)
Week 9 25 Nov 27 Nov 29 Nov 2 Dec 4 Dec*	Fundamental limits Algebraic limits Bode's integral formula Maximum modulus principle	Opt: FBS2e Sec 14.1, 14.2. 14.4 Rec: DFT Ch 6 Adv: Lewis, Ch 9	Template:Cds131 fa19 pdf Out: 27 Nov Due: 6 Dec (Fri) Office hours: 3 Dec (Tue), 4p-5p 5 Dec (Thu), 4p-5p, 314 ANB Template:Cds131 fa19 pdf (Caltech only)
Week 10 6 Dec	Review for final		Final Out: 6 Dec Due: 13 Dec, 2 pm Office hours: 9 Dec (Mon), 4p-5p 10 Dec (Tue), 4p‑5p Template:Cds131 fa19 pdf (Caltech only)

Grading

The final grade will be based on homework sets, a midterm exam, and a final exam:

• Homework (70%): Homework sets will be handed out weekly and due on Wednesdays by 2 pm either in class or in the labeled box across from 107 Steele Lab. Each student is allowed up to two extensions of no more than 2 days each over the course of the term. Homework turned in after Friday at 2 pm or after the two extensions are exhausted will not be accepted without a note from the health center or the Dean. MATLAB/Python code and SIMULINK/Modelica diagrams are considered part of your solution and should be printed and turned in with the problem set (whether the problem asks for it or not).

The lowest homework set grade will be dropped when computing your final grade.

• Final exam (30%): The final exam will be handed out on the last day of class (4 Dec) and due at the end of finals week. It will be an open book exam and computers will be allowed (though not required).

Collaboration Policy

Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the TA, or the instructor, but you cannot consult homework solutions from prior years and you must cite any use of material from outside references. All solutions that are handed in should be written up individually and should reflect your own understanding of the subject matter at the time of writing. Any computer code that is used to solve homework problems is considered part of your writeup and should be done individually (you can share ideas, but not code).

No collaboration is allowed on the final exam.

Course Text and References

The primary course texts are

• [FBS2e] K. J. Astrom and Richard M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, Princeton University Press, Second Edition*, 2019.
• [FBS2s] Richard M. Murray, Template:Cds131 fa19 pdf, 2019. (Updated 31 Oct 2019)
• [DFT] J. Doyle, B. Francis and A. Tannenbaum, Feedback Control Theory, Dover, 2009 (originally published by Macmillan, 1992).
• [OBC] R. M. Murray, "Optimization-Based Control", 2010. Online access
• [Son98] E. D. Sontag, Mathematical Control Theory, Springer, 1998. Online access

* Please make sure to use the second edition [FBS2e].

The following additional references may also be useful:

• [Lew03] A. D. Lewis, A Mathematical Approach to Classical Control, 2003. Online access.

Note: the only sources listed here are those that allow free access to online versions. Additional textbooks that are not freely available can be obtained from the library.