Title :
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
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;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426860
