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. © 2012 IEEE.
Networked control systems with state, input and communication constraints: A nonlinear approach
Famularo D.;Franze G.
;Lucia W.
2012-01-01
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. © 2012 IEEE.File in questo prodotto:
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