Nonlinear Control

This course aims to introduce the analysis of nonlinear systems and the common nonlinear control schemes. The course consists of system analysis and controller synthesis, with the objective to familiarize the student with adequate analysis tools, while providing them design skills. To evaluate the expertise of the student in nonlinear control analysis and synthesis, in addition to mid-term and final exams, the student will accomplish a comprehensive design task in a series of the assignment exercises using Matlab simulations. Moreover, a research project is done by every student to further study an advanced topic as a term project. The details of the course are as follows.

Date: Sunday and Tuesday 7:30 – 9:00 (T+3:30 GMT Tehran Local Time) OR Saturday and Monday 23:00 – 00:30 (-5:00 GMT Canada Eastern Time Zone)

Classroom Platform User Guide (En)

Classroom Platform User Guide (Fa)

Social Media
Office Hours
Office Hour Electronic Meeting
Date: Sunday and Tuesday 9:00 – 10:00 (T+3:30 GMT Tehran Local Time) OR Saturday and Monday 00:30 – 01:30 (-5:00 GMT Canada Eastern Time Zone)

ساعات پذیرش دانشجویان درس.

Tentative Course Timetable

 Time: Teaching Contents Week 1 Introduction: Nonlinear system representation, state-space equations, equilibrium point, multiple isolated equilibria, nonlinear system characteristics, limit cycle, bifurcation, chaos, nonlinear system examples, pendulum, tunnel-diode, mass-spring-damper, negative resistance, Van der Pol, Common nonlinearities such as a relay, dead-zone, saturation, hysteresis. Week 2 2nd Order Systems:  Phase portrait analysis; definitions, singular point, vector fields, phase portrait construction. Qualitative behaviour near equilibrium point; review of linear systems, nonlinear system multiple equilibria, linearization method at the vicinity of equilibria. Week 3 2nd Order Systems: Periodic orbit and limit cycle; definition, types, energy perspective, existence and non-existence theorems, examples. Bifurcation; definition, saddle-node, transcritical, pitchfork, Hopf, global and holonomic orbit bifurcation. Week 4 Lyapunov Stability of Autonomous Systems: Definitions, the concept of Lyapunov analysis, Lyapunov direct method, Lyapunov function, global stability and instability theorem. Week 5 Lyapunov Stability of Autonomous Systems: Invariant set theorems, Krasovskii-Lasalle’s theorem, local and global stability, the region of attraction, attractive limit cycle, linearization and Lyapunov indirect method, Lyapunov equation, Lyapunov function generation and Lyapunov based controller design. Week 6 Advanced Stability Analysis: Motivation example, definition, the notion of uniformity, Class K and KL functions. Non-autonomous Lyapunov analysis, Lyapunov analysis and Class K and KL functions, Lyapunov extensions. Week 7 Advanced Stability Analysis: LTV systems; frozen time conjecture, TV Lyapunov equation, Linearization theorems. Invariance-like theorems; Barbalat’s Lemma, uniformly continuous functions, extensions of invariance theorem. Week 8 Advanced Stability Analysis: Boundedness and ultimate bound, Lyapunov analysis, UUB stability;  Input-to-state stability; linear versus nonlinear input stability, local and global stability theorems. Week 9 Midterm Exam Week 10 Frequency Domain Analysis of Feedback systems:  Feedback system of a linear system and a nonlinear term, absolute stability, Circle and Popov Criteria. Describing function analysis; illustrating example, assumptions and definitions, computing describing functions, Review of Nyquist criterion, existence and stability of limit cycle, examples. Week 11 Feedback Linearization: Concepts, Differential geometry; gradient and jacobian, Lie algebra, involutivity and diffeomorphism. Input-output feedback linearization, relative degree. Week 12 Feedback Linearization: Input-output linearization; relative degree, normal form zero dynamics, non-minimum phase systems, state feedback control, regulation and tracking, Input-state feedback linearization, feasibility conditions, suitable diffeomorphism, state-feedback control. Week 13 Lyapunov-Based Controllers: Backstepping; design Idea, integrator, recursive and general backstepping, examples. Robust nonlinear control, motivating example, switching control, uncertainty description, stabilizing controller, regulation and tracking, chattering, and continuous control, UUB stability. Week 14 Lyapunov-Based Controllers:  Liapunov redesign, regular form, robustification and Lyapunov analysis, 2-norm robust controllers, infinity-norm robust controllers, examples. Week 15 Nonlinear Observers:  Local Observers; Linear observer, Kalman filters, extended Kalman filter; Global observer; certain nonlinear model, uncertain systems, High gain observers.

Course Videos Lecture Notes

Assignments

Researches

Research 02

Research 03

Research 04

Research 05

Research 06

Research 07

Project

Course Content

Reference Materials:
 1 Applied Nonlinear Control, J.J. Slotine and W. Li, Prentice Hall, 1991. 2 Nonlinear Control Systems, A. Isidori, Springer Verlag, 1995. 3 Nonlinear System Analysis, M. Vidyasagar, Prentice-Hall, 1993. 4 Selected Papers