DESIGN OF ROBUST PARAMETRIC MPC FOR HYBRID SYSTEMS
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This paper presents an algorithm for the design of robust model- based predictive controller for hybrid system under uncertainty via parametric programming. A min-max approach is adopted to design robust hybrid para- metric predictive controller (RHPPC) where a cost function is minimized for the maximum violation of the uncertainty involved. The proposed hybrid control scheme guarantees stability and feasible operation in the presence of bounded input uncertainty. The governing piecewise affine optimal control policy as a function of states can then be administered on-line as a sequence of simple function evaluations. An example is presented to illustrate the details of the proposed RHPPC design. Copyright © 2005 IFAC.
author list (cited authors)
Manthanwar, A. M., Sakizlis, V., & Pistikopoulos, E. N.