Discrete-Time Takagi-Sugeno Stabilization Approach Applied in Autonomous Vehicles

Autor: Mohamed Ali Jemmali, Hussein T. Mouftah
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Sensor and Actuator Networks, Vol 11, Iss 1, p 12 (2022)
Druh dokumentu: article
ISSN: 2224-2708
DOI: 10.3390/jsan11010012
Popis: This paper deals with a new robust control design for autonomous vehicles. The goal is to perform lane-keeping under various constraints, mainly unknown curvature and lateral wind force. To reach this goal, a new formulation of Parallel Distributed Compensation (PDC) law is given. The quadratic Lyapunov stability and stabilization conditions of the discrete-time Takagi–Sugeno (T-S) model representing the autonomous vehicles are discussed. Sufficient design conditions expressed in terms of strict Linear Matrix Inequalities (LMIs) extracted from the linearization of the Bilinear Matrix Inequalities (BMIs) are proposed. An illustrative example is provided to show the effectiveness of the proposed approach.
Databáze: Directory of Open Access Journals