Course title
6M005700,7M760000
Control Systems Engineering

 chen xinkai
Course content
This course will discuss the advanced control design methods. Firstly, the identification of a linear system will be discussed. Secondly, the adaptive control algorithm for discrete-time and continuous-time systems will be explained. Then, the variable structure control and sliding mode control will be discussed. Finally, design examples (nano control for smart material-based actuators, high precision adaptive control for nano-positioners, etc) will be introduced.
Purpose of class
This course will discuss the advanced control design methods.
Goals and objectives
  1. Understanding of advanced modern control theory
  2. Applying adavanced control theory to practical systems
  3. Optimizing advanced feedback control schemes
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Least square algorithm Distributed material 30minutes
2． Identification algorithm for discrete-time linear systems Distributed material 30minutes
3． Conditions for identification of a discrete-time linear system Distributed material 30minutes
4． Identification algorithm for continuous-time linear systems Distributed material 30minutes
5． Conditions for identification of a continuous-time linear system Distributed material 30minutes
6． Adaptive control algorithm for discrete-time systems Distributed material 30minutes
7． Stability analysis for discrete-time adaptive control systems Distributed material 30minutes
8． Adaptive control algorithm for continuous-time systems Distributed material 30minutes
9． Stability analysis for continuous-time adaptive control systems (1) Distributed material 30minutes
10． Stability analysis for continuous-time adaptive control systems (2) Distributed material 30minutes
11． Variable structure control Distributed material 30minutes
12． Sliding mode control Distributed material 30minutes
13． Design example by using adaptive control and sliding mode control Distributed material 30minutes
14． Examination Preparation 100minutes
15． Design example by using sliding mode control
Total. - - 490minutes
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
Presentations in reading club format and reports.
Textbooks and reference materials
References：
1. G.C. Goodwin and K.S. Sin, Adaptive Filtering Prediction and Control, Prentice-Hall
2. S. Sastry and M. Bodson, Adaptive Control Design and Analysis, Wiley-Interscience
3. V.I. Utkin, Sliding Modes in Control Optimization, Springer-Verlag
Prerequisites
Linear Algebra, Differential Equations
Office hours and How to contact professors for questions
  • Friday, 12:30-13:10
Relation to the environment
Regionally-oriented
Development of social and professional independence
    Active-learning course
    Last modified : Wed Oct 17 07:46:16 JST 2018