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The robust model-based predictive control (RMPC) formulation originally proposed in [1] ensures convergence of the state trajectory to the origin and satisfaction of operational constraints, provided that a given system of LMIs is feasible at the beginning of the control task. The largest domain of attraction of the origin under the resulting closed-loop control law can be defined as the set of all...
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...
For the complicated aerodynamics characteristic and severely uncertainty of nonlinear model of a hypersonic vehicle, a novel Model Predictive Controller design methodology based on Linear Parameter-Varying was developed. Firstly, the nonlinear model was transformed into Linear Parameter- Varying form by Jacobian linearization of nonlinear plant about a family of equilibrium points. And then the ploytopic...
In this paper, a robustified control technique is applied to a production-inventory system. A linear model is considered for the demand/inventory system with a variable dead-time and a variable yield. The inventory is firstly controlled with a MPC (model predictive control) law designed for some nominal values of the delay and yield. Using a Youla parameter-based procedure, this initial controller...
In this text, the problem of robust predictive control is investigated for uncertain singular time-delay systems. The design method of robust predictive controller is proposed. By means of Lyapunov function and linear matrix inequality (LMI), the infinite time domain "min-max" optimization problems are converted into convex optimization problems, and the sufficient conditions for the existence...
In this paper, we present a method for synthesizing a robust model predictive control for uncertain time-varying systems with state delay. The goal is to design, at each sampling time, a state feedback control law that minimizes an upper bound of the worst-case objective function, subject to constraints of control inputs. The worst-case performance is defined as an infinite-horizon quadratic function...
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