1 / 7

Intelligent Control Systems - Study Plan and Exam Details

Explore the study plan by weeks, exam criteria, and course content, including lectures on adaptive systems and artificial neural networks. Prepare for the practical exam and project on designing control systems.

ekeith
Download Presentation

Intelligent Control Systems - Study Plan and Exam Details

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ISS0023 Intelligent ControlSystemsArukad juhtimissüsteemid Eduard Petlenkov, Associate Professor, TUT DepartmentofComputerControl eduard.petlenkov@dcc.ttu.ee

  2. Introductory lecture • How study work is organized? • Content/ plan by weeks • Exam / evaluation criteria

  3. Study work Groups: IASM12, MAHM31 Lectures + practices Lecturs: II-309 Practicec: laboratories II-303,304 (max. 25 persons) Time: Examispractical – inthelaboratory. Firstpossibilitytotaketheexamis 16th studyweek http://www.a-lab.ee/edu http://www.a-lab.ee/edu/ISS0023

  4. Semester plan by weeks • Week 1– Introductory lecture, • Week 2– Lecture: Introduction to adaptive systems • Week 3– practice II-303/304 MATLAB/SImulink group A 14:00 / group B 16:00 • Week 4 – Lecture • etc…

  5. Preliminary semesterplan by weeks • Weeks 4 – 10– ArtificialNeuralNetworks • 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; • Lectureweeks nr. 4, 6and 8 • Practiceweeks nr. 5, 7, 9, 11. group A/ group B

  6. Preliminarysemester plan by weeks • Other topics to be covered– IntroductiontoFuzzysystems and geneticalgorithms, combinedapproach; Dynamic feedback linearization based control of nonlinear systems; Fractional order modelling and control (see http://fomcon.net/) • Weeknr. 16 - exam

  7. Exam • Exam prerequisites: • 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.

More Related