Predictive Control - N445085
Title: Prediktivní řízení
Guaranteed by: Department of Computing and Control Engineering (445)
Actual: from 2021
Semester: summer
Points: summer s.:5
E-Credits: summer s.:5
Examination process: summer s.:
Hours per week, examination: summer s.:2/2 C+Ex [hours/week]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Is provided by: M445019
For type:  
Guarantor: Mareš Jan doc. Ing. Ph.D.
Hrnčiřík Pavel doc. Ing. Ph.D.
Is interchangeable with: M445019
Examination dates   Schedule   
Annotation -
Last update: TAJ445 (14.12.2013)
Predictive control is a course which summarises advanced control techniques. Continuous or discrete mathematical model is the basics for all these methods. Introduction to diofantic equatoins is ana essential part of the lectures. The course contains also application examples in order for the students to apply the acquired knowledge to the solution of engineering problems.
Aim of the course
Last update: TAJ445 (22.08.2013)

Students will be able to:

  • use advanced and predictive control techniques (Pole Placement, Predictive Functional Control, Model Predictive Control)
  • Use optimization algorithms (linear programming, quadratic programming)
Literature -
Last update: TAJ445 (30.09.2013)

R: Mareš, J. Hrnčiřík, P., Základy prediktivního řízení, VŠCHT Praha, 2012, 9788070808238

A: Balátě, J. Automatické řízení, BEN, Praha, 2004, 8073001489

Learning resources -
Last update: TAJ445 (22.08.2013)

Requirements to the exam - Czech
Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (04.04.2014)

Předmět je zakončen zápočtem a zkouškou, získání zápočtu je přitom podmíněno aktivní účastí na cvičení a vypracování zadaných samostatných úloh.

Last update: TAJ445 (22.08.2013)

1) Continuous and discrete domain, difference equations, Z-transform.

2) Stability in discrete domain, delta models, discrete PID, IMC controller.

3) State space description.

4) Nonlinear and MIMO systems.

5) Adaptive control techniques.

6) Standard form of predictive control. Cost function, prediction model

7) Prediction model derivation

8) Numerical solution of control law.

9) Application example I

10) MATLAB Multi Parametric Toolbox.

11) Predictive control of MIMO systems.

12) Predictive control of nonlinear systems.

13) Application example II.

14) Application example III.

Registration requirements -
Last update: TAJ445 (22.08.2013)

Mathematics I, Control theory

Teaching methods
Activity Credits Hours
Účast na přednáškách 1 28
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 2 56
Účast na seminářích 1 28
5 / 5 140 / 140
Coursework assessment
Form Significance
Regular attendance 20
Report from individual projects 20
Continuous assessment of study performance and course -credit tests 20
Oral examination 40