Networked control systems with state, input and communication constraints: A nonlinear approach

Author

Famularo, Domenico ; Franze, Giuseppe ; Lucia, Walter

Author_Institution

DEIS, Univ. della Calabria, Rende, Italy

fYear

2012

fDate

10-13 Dec. 2012

Firstpage

38

Lastpage

43

Abstract

A Model Predictive Control (MPC) strategy for nonlinear Networked Control Systems (NCS) described by a polynomial plants subject to input, state constraints and data-losses is introduced. The results here proposed represent a significant extension to the polynomial framework of a recent Receding Horizon Control (RHC) scheme developed for input-saturated multi-model systems. Sum-of-Squares (SOS) conditions for polynomial systems are derived together with an SDP formulation of the on-line optimization problems.

Keywords

networked control systems; nonlinear control systems; optimisation; polynomials; predictive control; MPC strategy; NCS; RHC scheme; SDP formulation; SOS conditions; communication constraint; data-losses; input constraint; input-saturated multimodel systems; model predictive control strategy; nonlinear approach; nonlinear networked control systems; online optimization problems; polynomial framework; polynomial plants; polynomial systems; receding horizon control scheme; state constraints; sum-of-squares conditions; Actuators; Approximation methods; Computational modeling; Delay; Optimization; Polynomials; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control (CDC), 2012 IEEE 51st Annual Conference on

Conference_Location

Maui, HI

ISSN

0743-1546

Print_ISBN

978-1-4673-2065-8

Electronic_ISBN

0743-1546

Type

conf

DOI

10.1109/CDC.2012.6426860

Filename

6426860