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This paper exploits the concept of periodic invariance in order to derive a novel predictive control algorithm for switched systems. The offline computation here concerns the definition of sequences of switches which return the state vector to a set after a given number of moves, while an online optimization is used to improve performance by exploiting information available on the value of the state...
In this paper, we consider a receding horizon output feedback control of linear discrete-time systems with polyhedral model uncertainties and input/state constraints. A set of state feedback gains is derived first based on the periodic invariance so that the uncertain system is stabilized when the states are available and the state feedback gains are applied periodically. An LMI formulation is derived...
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