Technical Communique: Superposition in efficient robust constrained predictive control

Authors:
Young Il Lee;Basil Kouvaritakis
Affiliations:
Department of Control and Instrumentation, Seoul National University of Technology, Gongneung 2-dong, Nowon-gu, Seoul, 139-743, South Korea;Department of Engineering Science, Oxford University, Parks Road, OX1 3PJ, UK
Venue:
Automatica (Journal of IFAC)
Year:
2002

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Abstract

A stabilizing control method, which does not require on-line optimizations, is developed for linear systems with polytopic model uncertainties and hard input constraints. This work is motivated by the constrained robust MPC (CRMPC) approach (IEEE Trans. Automat. Control 45 (2000a) 1765) which adopts the dual mode prediction strategy (i.e. free control moves and invariant set) and minimizes a worst case performance criterion. Based on the observation that, a feasible control sequence for a particular state can be found as a linear combination of feasible sequences for other states, we suggest a stabilizing control algorithm providing sub-optimal and feasible control sequences using pre-computed optimal sequences for some canonical states. The on-line computation of the proposed method reduces to simple matrix multiplication.