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The paper presents the algorithm in robust constrained model predictive control for uncertain piecewise affine with time-invariant state-delay system using saturated linear feedback controller. Polytopic uncertain piecewise affine with time-invariant state-delay system is considered, and polytopic description for saturated function is used in the formulation. The robust performance index is presented...
A robust model predictive control algorithm is proposed for linear systems with input saturation in this paper. Polytopic uncertain systems and structured time-varying uncertain systems are respectively considered. An infinite horizon worst-case performance function is used as on-line optimization objective. Using a saturated linear feedback controller, the control action can be obtained by solving...
A constrained robust model predictive control algorithm for linear systems with polytopic uncertainty is presented in this paper. At each sample time the algorithm aims at minimizing an infinite horizon worst-case quadratic cost function. Compared with existed techniques, the proposed algorithm uses a sequence of slack inequalities to construct a tighter upper bound of robust cost function. A control...
In this paper, we propose a robust constrained model predictive control (RCMPC) for stabilizing processes with norm-bounded uncertainty. This type of uncertainty is used to avoid on-line computational burdens. The robust stability comes with a guarantee described by parameter-dependent Lyapunov function (PDLF). The control law based on PDLF is potentially less conservative than that based on single...
This paper proposes a robust model predictive control (MPC) scheme to asymptotically stabilize an uncertain linear plant with polytopic model uncertainty description. Quadratic robust stability constraints are explicitly imposed as contractive constraints on the predicted state at each sampling time. The feasibility of these constraints can be detected either off-line or at the first step of on-line...
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