Robust Mpc Controller Design for Switched Systems Using Multi-parameter Dependent Lyapunov Function
نویسندگان
چکیده
The paper addresses the problem of designing a robust output/state model predictive control for linear polytopic switched systems. We propose a new method for calculation of control algorithm parameters for predictive robust control of a linear switched polytopic system. Lyapunov function approach guarantees the multi-parameter-dependent quadratic stability (MPDQS) and guaranteed cost for a closed-loop system. In the proposed control scheme the required on line computation load is significantly less than that in MPC references, which opens possibility to use this control design scheme not only for plants with slow dynamics but also for faster ones. Sufficient robust stability conditions are given in the form of BMI and respective heuristic LMI iterative algorithm. The examples show the effectiveness of the proposed output feedback design method.
منابع مشابه
Design of Observer-based H∞ Controller for Robust Stabilization of Networked Systems Using Switched Lyapunov Functions
In this paper, H∞ controller is synthesized for networked systems subject to random transmission delays with known upper bound and different occurrence probabilities in the both of feedback (sensor to controller) and forward (controller to actuator) channels. A remote observer is employed to improve the performance of the system by computing non-delayed estimates of the sates. The closed-loop s...
متن کاملRobust H2 switching gain-scheduled controller design for switched uncertain LPV systems
In this article, a new approach is proposed to design robust switching gain-scheduled dynamic output feedback control for switched uncertain continuous-time linear parameter varying (LPV) systems. The proposed robust switching gain-scheduled controllers are robustly designed so that the stability and H2-gain performance of the switched closed-loop uncertain LPV system can be guaranteed even und...
متن کاملMPC for LPV Systems Based on Parameter-Dependent Lyapunov Function with Perturbation on Control Input Strategy
In this paper, the model predictive control (MPC) algorithm for linear parameter varying (LPV) systems is proposed. The proposed algorithm consists of two steps. The first step is derived by using parameter-dependent Lyapunov function and the second step is derived by using the perturbation on control input strategy. In order to achieve good control performance, the bounds on the rate of variat...
متن کاملOutput feedback model predictive control for LPV systems using parameter-dependent Lyapunov function
In this paper, we consider a robust dynamic output feedback model predictive controller (MPC) design for linear parameter varying (LPV) systems. According to the proposed MPC algorithm, the control law is computed based on linear matrix inequality (LMI) at each sampling time by solving convex optimization problem. Also, a new parameter-dependent Lyapunov function is proposed to get a less conse...
متن کاملOutput feedback model predictive control for Wiener model with parameter dependent Lyapunov function
In this paper, we consider a robust output feedback model predictive controller(MPC) design for Wiener model. Nonlinearities that couldn’t be represented in static nonlinearity block of Wiener model are regarded as uncertainties in linear block. An dynamic output feedback controller design method is presented for Wiener MPC. According to MPC algorithm, the control law is computed based on linea...
متن کامل