- S. Sastry and M. Bodson, Adaptive Control: Stability, Convergence and Robustness, Prentice Hall, 1989.
- P. Ionnau and J. Sun, Robust Adaptive Control, Prentice Hall, 1996.
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to Control Theory
Lecture
2. Week
Examples of Control Problems
Lecture
3. Week
Calculus of Variations
Lecture
4. Week
Dynamic Programming
Lecture
5. Week
Pontryagin's Maximum Principle
Lecture
6. Week
Minimum time and minimum energy problems.
Lecture
7. Week
Linear-quadratic control problems.
Lecture
8. Week
Regulation and tracking problems.
Lecture
9. Week
Singular control problems.
Lecture
10. Week
Computational algorithms
Lecture
11. Week
Applications and Practical Issues
Lecture
12. Week
13. Week
14. Week
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
20
Project(s)
1
50
Final Exam
1
30
Program Outcomes
PO-1
an ability to apply knowledge from undergraduate and graduate engineering and other disciplines to identify, formulate, and solve novel and complex electrical/computer engineering problems that require advanced knowledge within the field
PO-2
knowledge of advanced topics within at least two subdisciplines of computer engineering
PO-3
the ability to understand and integrate new knowledge within the field;
PO-4
the ability to apply advanced technical knowledge in multiple contexts
PO-5
a recognition of the need for, and an ability to engage in, life-long learning
PO-6
the ability to plan and conduct an organized and systematic study on a significant topic within the field
PO-7
an ability to convey technical material through formal written reports which satisfy accepted standards for writing style
PO-8
the ability to analyze and use existing literature
PO-9
the ability to demonstrate effective oral communication skills
PO-10
the ability to stay abreast of advancements in the area of computer engineering
Learning Outcomes
LO-1
Gaining mathematical foundation of control theory.
LO-2
The ability to optimize control systems
LO-3
The ability to use appropriate analytical tools to model and control a given physical system
LO-4
Understanding the basic principles of control systems including how the design parameters influence the system outputs
