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Course

Advanced Control Systems

Elective6 ECTSSemester 360 h teachingTaught in Croatian

Course description

The course description is available in Croatian only.

  • Uvodni sati
  • Matematički modeli sustava upravljanja u prostoru stanja
  • Upravljivost i osmotrivost
  • LQ regulator
  • Estimator stanja
  • Adaptivni regulatori
  • Uvod
  • Regulatori s podešavanjem pojačanja
  • Regulatori s unaprijednim signalima (feed forward)
  • Regulatori s referentnim modelom (MRAS)
  • Izbor strukture regulatora ? opis procesa
  • SCADA sustavi upravljanja
  • Neizrazito upravljanje – Uvod
  • Projektiranje neizrazitih regulatora
  • Neizrazito upravljanje – primjeri
  • Umjetne neuronske mreže
  • Neuronski regulator

When and where

The timetable and room occupancy are available after signing in with your TVZ account.

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Learning outcomes

  1. lead projects where involving advance control systems
  2. ability to classify linear and non-linear regulation systems of plants and processes
  3. ability to develop a controller for certain non-linear processes
  4. ability to estimate a suitable adaptive control system for a particular process
  5. ability to integrate a control system based on adaptive, fuzzy control and neuro algorithms

Reading list

Required reading

  • Z. Vukić, Lj. Kuljača; Automatsko upravljanje – analiza linearnih sustava; Kigen d.o.o.; 2004.
    K.J. Astrom; B. Wittenmark; Adaptive Control; Dover Publication; 2008.
    D. Đonlagić: Neizraziti regulatori; FER-ZaiPR. 2001.
    I. Petrović, M. Baotić, N. Perić; Inteligentni sustavi upravljanja: Neuronske mreže, evolucijski i genetički algoritmi, FER, 2011.

Course coordinators 2

Teaching staff 4

Exam dates

within 10 days within 30 days later past
Source: ISVU. Click a date to open Studomat and register; check it for changes too.