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Constrained MPC using feedback linearization on SISO bilinear systems with unstable inverse dynamics. (English) Zbl 1094.93010

Expressions for maximal partially invariant sets are derived, and an algorithm for significant enlargement of maximal PIF (partially invariant and feasible) sets are developed. The derivation is based on the concept of partial invariance in order to identify regions in state space where OIOFL (optimal input-output feedback linearization) applied to SISO bilinear systems steers the state to the kernel of the output map even in the presence of non-minimum phase characteristics. The enlarged PIF sets (in fact, suitably inscribed polytopes) are used as terminal sets in the dual prediction mode paradigm of MPC (model predictive control). The second order bilinear system whose OIOFL has one stable and one unstable equilibrium point is used to illustrate the benefits (in terms of PIF enlargement) of the proposed algorithm in dual prediction mode MPC.

MSC:

93B40 Computational methods in systems theory (MSC2010)
93B51 Design techniques (robust design, computer-aided design, etc.)
93C10 Nonlinear systems in control theory
Full Text: DOI

References:

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