ISS0023 Intelligent Control Systems Arukad juhtimissüsteemid

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ISS0023 Intelligent Control Systems Arukad juhtimissüsteemid

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Presentation transcript:

ISS0023 Intelligent Control Systems Arukad juhtimissüsteemid Eduard Petlenkov, Associate Professor, TUT Department of Computer Control eduard.petlenkov@ttu.ee

Introductory lecture How study work is organized? Content/ Preliminary plan Exam / evaluation criteria

Study work http://www.a-lab.ee/edu http://www.a-lab.ee/edu/ISS0023 Groups: IASM12, MAHM31 + Exchange students Lectures + practices Lecturs: II-309 Practicec: laboratories II-303,304 (max. 25 persons) Time: Exam is practical – in the laboratory. First possibility to take the exam is 16th study week http://www.a-lab.ee/edu http://www.a-lab.ee/edu/ISS0023

Semester plan by weeks Week 2– 12:00 Introductory lecture + 14:00 Introduction to MATLAB (optional) Week 3– Lecture: Introduction to adaptive systems, Introduction to Neural Networks Week 4 – practice II-303/304 MATLAB/SImulink group A 12:00 / group B 14:00 Week 5 – Lecture etc…

Semester plan Adaptive Systems Artificial Neural Networks Structures of artificial neural networks and training algorithms; Artificial neural networks based identification of nonlinear systems; Artificial neural networks based control of nonlinear systems; Artificial neural networks based image recognition and pattern classification; Self-organizing systems;

Preliminary semester plan by weeks Dynamic Feedback Linearization based Control of Nonlinear Systems Introduction to Fuzzy Systems and Genetic algorithms, combined approach; Fractional order modelling and control (see http://fomcon.net/) Lecture weeks nr. 3, 5, 7, 9, 11, 13, 15 Practice weeks nr. 4, 6, 8, 12, 14. group A/ group B Week nr. 16 - exam

Exam Exam prerequisites: Exam - up to 72 hours Course ISS0023 is declared (included into Your semester plan), Laboratory trainings are performed, Reports are presented and accepted Exam - up to 72 hours Small practical project – design of a control system according to given control criteria; Simulation of the control system; Analysis of results and writing a report.