Course details
Modern Control Theory
QA9 Acad. year 2005/2006 Winter semester
State Space Approach.Algebraic methods in solving of dynamic systems.Adaptive, optimal,extremal and learning systems. Knowledge based systems.
Guarantor
Language of instruction
Completion
Time span
- 39 hrs lectures
- 26 hrs projects
Department
Subject specific learning outcomes and competences
State Space approach.Algebraic methods in solving of dynamic systems.Adaptive, optimal,extremal and learning systems. Knowledge based systems.
Learning objectives
Using of modern control theory for analysis and design of advanced control systems.
Prerequisite knowledge and skills
There are no prerequisites
Study literature
- Sylaby,vydávané na ústavu
- Odborné texty ostatních českých i zahraničních vysokých škol.
Fundamental literature
- Astrom,Wittenmark:Adaptive Contro, Prentice Hall.
- Kučera V.:Algebraická teorie řízení,Academia.
- Csaki,F.:Modern Control Theories.
Syllabus of lectures
- Introduction.Basic definitions and overlook of the course.
- Special systems with non conventional sampling.
- Mathematical tools form algebraic theory.
- Using of algebraic theory for analysis and design of advanced control circuits.
- Design of control algorithm with predescribed properties of feedback circuit.
- Predictive control.
- Adaptive control STURE.
- Expert systems as a safety cover for STURE systems.
- Using of on-line obtained information for data base in adaptive expert control.
- Neural networks and fuzzy logic in adaptive control.
- Optimal control.Different types of the problem.
- Machine learning and its use for adaptive control.
Progress assessment
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
Controlled instruction
There are no checked study.