%J Proc. 39th IEEE Conf. on Decision and Control
%V 1
%K discrete-time systems; linear programming; linear time-invariant systems; model predictive control; optimal control; piecewise linear control; receding horizon control; stability; discrete time systems; linear programming; linear systems; optimal control; piecewise linear techniques; predictive control; stability
%D 2000
%R 10.1109/CDC.2000.912837
%A Alberto Bemporad
%A Francesco Borrelli
%A Manfred Morari
%L eprints573
%C Sydney, Australia December, 2000
%X For discrete-time linear time-invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, as a function of the initial state, the solution to optimal control problems that can be formulated using a linear program. In particular, we focus our attention on a receding horizon control scheme where the performance criterion is based on a mixed 1/?-norm. We show that the optimal control profile is a piecewise linear and continuous function of the initial state. Thus, when the optimal control problem is solved at each time step according to a moving horizon scheme, the online computation of the resultant model predictive controller is reduced to a simple linear function evaluation, instead of the typical expensive linear program required up to now. The technique proposed has both theoretical and practical advantages. The proposed technique is attractive for a wide range of applications where the simplicity of the online computational complexity is a crucial requirement
%B Decision and Control Conference
%T Explicit solution of LP-based model predictive control
%I IEEE
%P 632-637