MATH6307P Automation and System Control

MATH6307P Automation and System Control

Number of Credits

2

Teaching Hours

32

Offering School

SJTU Paris Elite Institute of Technology(SPEIT)

Course Instructor

LI Hao

Course Level

Postgraduate

Language of Instruction

English

First Day of Class

Tuesday, Sept.24th, 2024

Last Day of Class

Tuesday, Jan.7th, 2025

Course Component

Lecture

Mode of Teaching

Synchronous

Course recordings available for students.

Meeting Time

Week 2-9: Tuesdays 14:00 pm - 15:40 pm; 

Week 10-17: Mondays, 16:00 pm - 17:40 pm

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Time Zone

Beijing Time(UTC+8)

 

 Restrictions

Standard sequence of undergraduate analysis courses, some knowledge of advanced analysis (including matrix analysis, functional analysis, numerical computation), and some knowledge of optimization theory.

Matlab is needed.

 

 

 

 Course Description

This course is to give students a knowledge of fundamental principles of automation & system control and some classical control methods and modern control methods. Course contents include basic concepts of control systems, mathematical abstraction and state model representation of real dynamic systems, characteristics of feedback control systems, stability of linear feedback systems, root locus control methods for dynamic systems, frequency domain control methods for dynamic systems, system stability in the frequency domain, model predictive control methods, etc.

The objective of the course is to help the students achieve the following aspects: (1) study how to model dynamic systems via knowledge on real analysis, Fourrier & Laplace transform, matrix analysis, stochastic processes etc. (2) get familiar with control system concepts such as observability & controllability; (3) master how to use frequency domain methods, linear state feedback methods to design control systems that satisfy certain requirements; (4) have a knowledge of some advanced control methods such as model predictive control methods.

Assessment Format

1. Class performance 40%

2. Project performance 60%

Syllabus

English