General information

Catalog no.: 00350188
Credit points: 3.5
Prerequisites: 00340032—Linear Systems
00340040—Introduction to Control
Grading policy: 2 midterm projects (tokef)—20% each (provided the grade of the final exam is at least 55)
Final exam—60% (or 100%, if its grade is lower than 55)
Passing policy: Minimum passing grade is 55, only those who pass both projects are elibible to take the final exam

Syllabus

Topics on single-loop analysis: advanced loop shaping; pole placement; control of dead-time systems; choices of reference signals; modeling uncertainty and robustness.

State-space methods: state space; structural properties of systems in state space; state feedback; state observers; observer-based output feedback; linear-quadratic regulator (LQR) problem; linear-quadratic estimation (Kalman filtering); LQG.

Introduction to sampled-data control: connecting analog and digital; the sampling theorem, aliasing, and anti-aliasing filters; digital redesign of analog controllers; control of discrete-time systems.

Literature:

Lecturer:

Leonid Mirkin 210 D. Dan & Betty Kahn Bld., phone: 3149, email: 

Teaching assistant:

Leeor Ravina 303 Lady Davis Bld., email: 
Office hours: Sunday 11:30–12:30

Schedule

Classes:

Type Instructor Day Time Location
lecture L. Mirkin Tuesday 10:30–13:20 451, LD
tutorial L. Ravina Tuesday 9:30–10:20 451, LD

Final exams:

Moed Date Time Location
א׳ Aug 4, 2025 9:00am TBD
ב׳ Aug 31, 2025 TBD TBD

Lectures

  1. A crash review of some LS and IC material (also in beamer mode)
  2. M-circles, Nichols chart, Bode's gain-phase relation; pole/zero cancellations (also in beamer mode)
  3. 2DOF control archotecture; choice of reference signals (also in beamer mode)
  4. Pole-zero cancellations; lightly-damped loops; strong stabilization (also in beamer mode)
  5. Dead-time systems (also in beamer mode)
  6. Modeling uncertainty and robustness; integrator windup; pole placement (also in beamer mode)
  7. State-space realizations (also in beamer mode)
  8. Controllability and observability, minimal realizations (also in beamer mode)
  9. State feedback, state observers, observer-based feedback (also in beamer mode)
  10. Linear-quadratic regulator (LQR) problem (also in beamer mode)
  11. Properties of LQR (contd); Linear-quadratic state estimation, LQG (also in beamer mode)
  12. Disturbance models and their use; sampled-data systems (also in beamer mode)
  13. Digital redesign; A/D and D/A conversions, aliasing, the Sampling Theorem (also in beamer mode)
  14. Digital redesign (contd); discrete-time design (also in beamer mode)

Tutorials

Exams