A Sampled-time Controller for a Class of Constrained Nonlinear Systems Via Interval Prediction

https://doi.org/10.58571/CNCA.AMCA.2023.046

Resumen: In this paper a solution for the stabilization problem is proposed for continuous-time nonlinear systems, taking into account state and input constraints. The proposed sampled-time controller includes the design of a control law based on an interval predictor-based state-feedback controller and a model predictive control (MPC) approach that deals with the system constraints. The interval predictor-based state-feedback controller is designed based on Lyapunov function approach, which provides a safe set where the state constraints are not violated, out of this set the MPC is activated. The practical, uniform, and asymptotic stability of the considered nonlinear systems is guaranteed. A constructive method based on linear matrix inequalities (LMIs) is proposed to compute the controller gains.

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Gutiérrez, Ariana; Ríos, Héctor; Mera, Manuel; Efimov, Denis; Ushirobira, Rosane. A Sampled–time Controller for a Class of Constrained Nonlinear Systems Via Interval Prediction. Memorias del Congreso Nacional de Control Automático, pp. 217-222, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.046

Palabras clave

Control de Sistemas No Lineales; Control Robusto; Sistemas Discretos

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