Oct 18, 2019   7:17 a.m. Lukáš

# Course syllabus N422P2_4I - Predictive Control (FCFT - SS 2017/2018)

Information sheet          ECTS          Syllabus

Slovak          English

University: Slovak University of Technology in Bratislava
Faculty: Faculty of Chemical and Food Technology
Course unit code: N422P2_4I
Course unit title: Predictive Control
Mode of delivery, planned learning activities and teaching methods:
 lecture 1 hour weekly (on-site method) seminar 2 hours weekly (on-site method)

Credits allocated: 3

Recommended semester/trimester: Automation and Information Engineering in Chemistry and Food Industry - master (semi-compulsory), 4. semester
Level of study: 2.
Prerequisites for registration: none

Assesment methods:
Evaluation is based 50% on the work during the semester, 50% from the final project defense. The rating is based on the standard FCHPT scale.

Learning outcomes of the course unit:
Students will obtain in the course knowledge of the concept of Model Predictive Control (MPC), they will know how to formulate MPC problems as convex optimization problems, they will be able to choose a proper type of objective function and constraints, and and they will know how to solve MPC numerically and implement it in closed loop.

Course contents:
The course is divided into three main parts. The first one introduces the concept of model predictive control (MPC) and shows its analogies to optimal control. Second part describes mathematical fundaments required to formulate MPC problems as convex optimization problems. The final part discusses various formulations of MPC, including regulation towards non-zero references, removal of regulation offsets, and output regulation.

Basic:
 MACIEJOWSKI, J M. Predictive Control with Constraints. Harlow : Prentice Hall, 2002. 331 p. ISBN 0-201-39823-0. RAWLINGS, J B. -- MAYNE, D Q. Model Predictive Control: Theory and design. Madison : Nob Hill Publishing, 2009. 533 p. ISBN 978-0-975-93770-9.

Language of instruction: slovak or english

Notes:

Courses evaluation:
Assessed students in total: 20

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Name of lecturer(s): doc. Ing. Michal Kvasnica, PhD. (person responsible for course) - slovak, english

Last modification: 4. 12. 2017
Supervisor: doc. Ing. Michal Kvasnica, PhD. and programme supervisor

Last modification made by Ing. Tomáš Molnár on 12/04/2017.

 Type of output: PDF output (PDF)Document RTF (RTF)XML format for IS (XML IL)