Stability, positive invariance and design of constrained regulators for networked control systems

G. Bitsoris, N. Athanasopoulos, L. Dritsas

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Abstract

In this article, the stability analysis, the positive invariance of polyhedral sets and the design of state-feedback regulators for networked control systems (NCS) with bounded transmission delays, constant and unknown or time-varying, are investigated. The dynamics of the NCS is described by autoregressive-moving-average (ARMA) models. Contrary to former approaches based on quadratic Lyapunov functions, in this article polyhedral Lyapunov functions are used for both stability and positive invariance analysis and state-feedback synthesis. Then, based on the property that the exponential of a matrix can be expressed as a weighted sum of its constituent matrices, it is proven that the problems of determination of stability margins or the design of stabilising controllers can be reduced to linear programming optimisation problems. The use of ARMA models allows the development of methods for the design of state-feedback controllers satisfying state constraints or convergence rate specifications defined on the NCS state space and not on the state of an augmented state space representation.
Original languageEnglish
Pages (from-to)1401-1413
JournalInternational Journal of Control
Volume85
Issue number10
DOIs
Publication statusPublished - 2012

Fingerprint Dive into the research topics of 'Stability, positive invariance and design of constrained regulators for networked control systems'. Together they form a unique fingerprint.

  • Cite this