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This paper proposes a robust controller design method for an norm-bounded uncertain linear system with disturbance. At First, we derive the necessary and sufficient condition for regional pole assignment for uncertain linear system, then derive the criteria of H2/H?? performance of uncertain linear system with disturbance. Hence combining them, we get the mixed H2/H?? controller control with regional...
In this paper, we present a delay-dependent robust model predictive control (MPC) algorithm for a class of discrete-time linear state-delayed systems subjected to polytopic-type uncertainties and input constraints. The state-feedback MPC law is calculated by minimizing an upper bound of the worst-case quadratic cost function over an infinite time horizon at each sampling instant. In contrast to existing...
This paper considers robust model predictive control for systems with polytopic uncertainty and bounded disturbance, where the system state is unmeasurable, and the model at the current sampling time is an exact combination of the vertices of the polytope. A parameter-dependent dynamic output feedback is used for this problem. At each sampling time, the optimization problems can be solved via LMI...
Based on a creative sliding mode prediction model, a novel sliding mode observer (SMO) design method for discrete-time nonlinear uncertain systems is presented in this paper. By combining feedback correction approach, the observer states can close to system states as exactly as possible, and chattering is eliminate simultaneously. Because of the employing of receding horizon optimization technique,...
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