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An efficient output feedback predictive control algorithm based on the state observer for constrained parameter uncertain discrete system is presented. The proposed method can give a solution to the problems that the error of the state estimation was not considered and the calculation was too large. The system was described by the polytopic description. A state observer was designed to realize the...
According to basis weight and moisture content characteristics of nonlinearity, time-variance, coupling, time-delay, uncertainty and information inadequacy in papermaking process, a new predictive controller based on dynamic matrix control(DMC) algorithm is proposed to be employed in the basis weight and moisture content control system, which depends little upon process control model but with adaptive...
Computationally efficient robust model predictive control algorithm applicable for linear systems with polytopic model uncertainty as well as bounded additive disturbances is explored. A form of control scheme consisting of a static state feedback and a dynamically evolving perturbation is used in such a way that the cost function can be minimized in a receding horizon fashion over a pre-determined...
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...
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