Course title
V0410700
Advanced Control Theory

 zhai guisheng Click to show questionnaire result at 2017
Course description
It is known that control engineering plays a very important role in real-world applications. This course deals with basic knowledge in control engineering with both classic and modern control (focusing on the latter). We will learn system representation (modeling), transfer function, state solution (various response), frequency based analysis and design, system stability, controllability and observability, state feedback, observer and optimal control, etc.
Purpose of class
Obtain fundamental knowledge about classic and modern control, and understand the relation between them. Master various analysis and design tool in control engineering, and use MATLAB/simulink in numerical simulation.
Goals and objectives
  1. Understand transfer function and state space representation, and obtain various system responses.
  2. Understand transfer function based analysis and design
  3. Understand state space representation based analysis and design
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Course introduction and physical system modeling RLC circuit, Newton's Principle 60minutes
2. Laplace Transform, inverse Laplace transform and Transfer function Complex numbers, derivative and integral, 60minutes
3. Block Diagram Transfer function and matrix manipulation 60minutes
4. System state solution Laplace Transform, inverse Laplace transform and matrix exponential 60minutes
5. System stability, Routh and Hurwitz criteria limit and convergence, matrix determinant, etc 60minutes
6. Steady state response, Bode diagram Complex analysis, MATLAB simulation 60minutes
7. Mid-term exam and review All from No.1 through No.7 120minutes
8. State space representation matrix and vector manipulation, differential equations 120minutes
9. Transition matrix and system state solution Transfer function and matrix manipulation (eigenvalue, eigenvector, diagonalization, etc) 60minutes
10. Lyapunov function based system stability positive definite functions and derivative 60minutes
11. Controllability and observability matrix rank and duality 60minutes
12. State feedback and pole assignment Controllability, stability, etc 60minutes
13. Optimal control Cost function, state feedback, etc 60minutes
14. Final exam all from No.1 through 14 120minutes
Total. - - 1020minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Mid-term exam Final exam Total.
1. 20% 10% 30%
2. 20% 10% 30%
3. 40% 40%
Total. 40% 60% -
Evaluation method and criteria
Mid-term exam: 40%
Final exam: 60%
Textbooks and reference materials
Mainly handouts (No textbook)
Reference: Ogata, Modern Control Engineering
Prerequisites
Basic calculus and algebra (matrix and vector)
Office hours and How to contact professors for questions
  • Monday 12:15 -- 13:00
Relation to the environment
Environment-related course (20%)
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
More than one class is interactive
Last modified : Wed Oct 17 08:16:56 JST 2018