450-6002/01 – Modern Control Theory (MTŘ)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits10
Subject guarantordoc. Ing. Štěpán Ožana, Ph.D.Subject version guarantordoc. Ing. Štěpán Ožana, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
OZA77 doc. Ing. Štěpán Ožana, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

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

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in special blocks

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