%T Constraint fulfilment in control systems via predictive reference management
%P 3016-3022
%I IEEE
%V 3
%S 0-7803-1968-0 
%K LQ regulated system; constrained vector evolution prediction; constraint fulfilment; feedback control systems; input-dependent inequality constraints; offset-free properties; predictive reference management; stability; state-dependent inequality constraints; control system analysis; feedback; linear quadratic control; predictive control; stability
%A Alberto Bemporad
%A Edoardo Mosca
%X The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting online the future reference based on both the current state and the desired set-point changes. An analysis is presented so as to establish stability and offset-free properties of the method when embodied in an LQ regulated system. Finally, simulations are used to evaluate the achievable performance
%D 1994
%L eprints621
%C Lake Buena Vista, December 1994
%B Decision and Control Conference
%R 10.1109/CDC.1994.411327
%J Proc. 33rd IEEE Conf. on Decision and Control