Robust stability and performance analysis based on integral quadratic constraints
Artikel i vetenskaplig tidskrift, 2016

The integral quadratic constraints (IQC) approach facilitates a systematic and efficient analysis of robust stability and performance for uncertain dynamical systems based on linear matrix inequality (LMI) optimization. With the intention to make the IQC analysis tools more accessible to control scientists and engineers, we present in this paper a tutorial overview in three main parts: i) the general setup and the basic IQC theorem, ii) an extensive survey on the formulation and parametrization of multipliers based on LMI constraints, and iii) a detailed illustration of how the tools can be applied.

ZAMES-FALB MULTIPLIERS

DISSIPATIVE DYNAMICAL-SYSTEMS

INTERCONNECTED SYSTEMS

DISTRIBUTED CONTROL DESIGN

TIME-VARYING DELAYS

Robust stability and performance analysis

FEEDBACK-SYSTEMS

LINEAR MATRIX INEQUALITIES

UNCERTAIN SYSTEMS

POPOV CRITERION

Linear matrix inequalities

Integral quadratic constraints

OPTIMIZATION PROBLEMS

Författare

Joost Veenman

SENER

Carsten W. Scherer

Universität Stuttgart

Hakan Köroglu

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

European Journal of Control

0947-3580 (ISSN)

Vol. 31 1-32

Fundament

Grundläggande vetenskaper

Ämneskategorier

Reglerteknik

DOI

10.1016/j.ejcon.2016.04.004