Course title
6M005700,7M7600001
Control Systems Engineering

 CHEN XINKAI
Course content
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. Students can understand of modern control theory.
  2. Students can design a control system based on state-space approach.
  3. Students can apply the control design theory to practical systems.
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 Chapter 8 100minutes
2． Equation of state solutions and state transitive matrix Chapter 8 100minutes
3． Stability and discrimination of stability Chapter 8 100minutes
4． Coordinate conversion and system equivalence Chapter 9 100minutes
5． Diagonal canonical form and controllability and observability Chapter 9 100minutes
6． Controllability canonical form and observability canonical form and their applications Chapter 9 100minutes
7． State feedback control and stabilization Chapter 10 100minutes
8． Direct feedback control and root locus method Chapter 10 100minutes
9． Stabilization through serial compensators Chapter 10 100minutes
10． Stabilization by observers Chapter 10 100minutes
11． Servo system design Chapter 11 100minutes
12． Optimal regulator design Chapter 11 100minutes
13． Kalman filter Distributed material 100minutes
14． Examples and applied design.
Examination 		Preparation 100minutes
Total. - - 1400minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Report Examination Total.
1. 15% 20% 35%
2. 15% 20% 35%
3. 15% 15% 30%
Total. 45% 55% -
Evaluation method and criteria
1. The evaluation depends on the presentations in reading club format (30%), report (30%) and examination (40%).
2. 60 points (60%) implies that students can design the basic control systems based on state-space approach and can apply the control design theory to practical systems.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
References:　　
1. Thomas Kailath　「Linear Systems 」Prentice-Hall
2. G.C. Goodwin and K.S. Sin, Adaptive Filtering Prediction and Control, Prentice-Hall
3. S. Sastry and M. Bodson, Adaptive Control Design and Analysis, Wiley-Interscience
4. V.I. Utkin, Sliding Modes in Control Optimization, Springer-Verlag
Prerequisites
Linear Algebra, Differential Equations
Office hours and How to contact professors for questions
  • Monday, 10:50-13:10
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 7.AFFORDABLE AND CLEAN ENERGY
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Sep 09 07:02:41 JST 2023