450-6002/02 – Modern Control Theory (MTŘ)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 10 |
| Subject guarantor | doc. Ing. Štěpán Ožana, Ph.D. | Subject version guarantor | doc. Ing. Štěpán Ožana, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2015/2016 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The goal of subject is introduce students on modern methods control systems analysis and design.Students will be ready use modern methods for practical designs of feedback control systems using computers and simulation program MATLAB and SIMULINK.
Teaching methods
Lectures
Individual consultations
Project work
Summary
Ph.D. students are introduce on modern methods of feedback control systems analyze and design Learners are introducing also on algebraic, stochastic, LQR, robust and adaptive optimal control. In the last part learners are introduce on using multi-agent in control systems with knowledge base.
Compulsory literature:
OGATA,K. Modern Control Engineering. Prentice – Hall, 2010. ISBN 10 0-13-615673-8
GOLNARAGHI, F., KUO, B.C., Automatic Control Systems, John Wiley & Sons, 2010
Recommended literature:
OGATA,K. Modern Control Engineering. Prentice – Hall, 2010. ISBN 10 0-13-615673-8
Way of continuous check of knowledge in the course of semester
Verification of study:
Tutorial of assigned individual projects.
E-learning
Other requirements
There are not defined other requirements for student
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Algebraic Design . Simple-dimension systems. Multi-dimensions systems .
Stochastic Systems Control . Stochastic process . Vector process .
Linear Quadratic Control I. Problem LQR ( Linear Quadratic Regulator ) Formulation . Quadratic Optimal Control . Stability of System with LQR Controller .
Linear Quadratic Control II . Optimal Observer Design . Gauss Linear Quadratic Task Solving (LQG) . Control Systems with LQG Controller Characteristics.
Robust Control - H-infinite . Power Specification and Robust . H2 Optimization and LTR ( Loop Transfer Recovery ) Method . H-infinite Control .
Adaptive Systems . Adaptive Systems with Reference Model . Recursive Estimation . Optimal Control with Minimal Variance . Self-tuning Control Systems, predictors a filters .
Multi-agents Techniques in Control Systems with Knowledge base . Agent Definition . Agents Characteristics . Using Multi-agents in Control Systems .
Projects:
All Ph.D. students received individual project of selected part of subject.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks