Course title
P2681200
Modern Control Theory

 chen xinkai Click to show questionnaire result at 2017
Course description
This course will discuss the handling and simulation of control systems through the state space method, estimate dynamic characteristics, and control system design methods through modern control theory. Specifically, equation of state will be introduced and its relation to transfer functions will be explained. Then, the controllability and observability concepts based on coordinate conversion will be introduced. After raising basic theories relating to control system stabilization, control system design methods through modern control theory and several examples of application will be described.
Purpose of class
This course will discuss the handling and simulation of control systems through the state space method, estimate dynamic characteristics, and control system design methods through modern control theory.
Goals and objectives
  1. Understanding of modern control theory
  2. Able to apply control theory
  3. Harmonic combination of modern control method and classical control method
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Equation of state and transfer functions Linear Algebra and Differential Equations 50minutes
Calsical control theory 50minutes
2. Equation of state solutions and state transitive matrix Linear Algebra and Differential Equations 50minutes
3. Stability and discrimination of stability Calsical control theory 50minutes
4. Coordinate conversion and system equivalence Linear Algebra and Differential Equations 50minutes
5. Diagonal canonical form and controllability and observability Linear Algebra and Differential Equations 30minutes
6. Controllability canonical form and observability canonical form and their applications Coordinate conversion and system equivalence 50minutes
7. State feedback control and stabilization Calsical control theory 50minutes
Controllability canonical form and observability canonical form and their applications 30minutes
8. Direct feedback control and root locus method Calsical control theory 40minutes
9. Stabilization through serial compensators Calsical control theory 40minutes
10. Stabilization by observers Calsical control theory 40minutes
Controllability canonical form and observability canonical form and their applications 30minutes
11. Servo system design Calsical control theory 40minutes
State feedback control and stabilization 30minutes
12. Optimal regulator design State feedback control and stabilization 30minutes
13. Kalman filter Controllability canonical form and observability canonical form and their applications 40minutes
14. Examples and applied design Controllability canonical form and observability canonical form and their applications 40minutes
Total. - - 740minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Examination Report Total.
1. 20% 5% 25%
2. 20% 5% 25%
3. 20% 5% 25%
4. 20% 5% 25%
Total. 80% 20% -
Evaluation method and criteria
Final examination 80%, Report 20%
Textbooks and reference materials
G. C. Goodwin, S. F. Graebe and M. E. Salgado, Control Systems Design, Prentice Hall
Prerequisites
Linear Algebra
Differential Equations
Calsical Control Theory
Office hours and How to contact professors for questions
  • Friday, 12:30-13:10
Relation to the environment
Non-environment-related course
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Non-social and professional independence development course
Active-learning course
N/A
Last modified : Wed Oct 17 08:16:52 JST 2018