Adaptive and Predictive Control ()

Lecturer (assistant)
Duration4 SWS
TermSommersemester 2017
Position within curriculaSee TUMonline
DatesSee TUMonline

Admission information

Objectives

At the end of the module students are able to design and configure adaptive and predictive controllers. A deep understanding of fundametal principles and synthesis approaches for adaptive and predictive control is conveyed.

Description

Introduction into adaptive and predictive control principles. - Online parameter estimation and adaptive observers. Model refrence adaptive control; adaptive pol placement; iterative learning control; gain scheduling; robust adaptive control. - Linear model-predictive control; generalized model-predictive control; adaptive and robust MPC. - Nonlinear MPC; stability; efficient numerical algorithms. -Applications.

Prerequisites

Fundamentals of control engineering The following modules should be complete before participation: Control systems 1

Examination

written, 90 min

Recommended literature

K.J. Astrom, B. Wittenmark: Adaptive Control, 1995 E.F. Camacho, C. Bordons: Model Predictive Control, 2004 J.M. Maciejowski: Predictive Control with Constraints, 2001.

Links