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            <title xml:lang="en">T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics</title>
            <title xml:lang="fr">Les observateurs flous T-S pour concevoir un contrôle tolérant aux pannes des actionneurs pour la dynamique latérale des véhicules automobiles</title>
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                <title xml:lang="en">T-S Fuzzy Observers to Design Actuator Fault-Tolerant Control for Automotive Vehicle Lateral Dynamics</title>
                <title xml:lang="fr">Les observateurs flous T-S pour concevoir un contrôle tolérant aux pannes des actionneurs pour la dynamique latérale des véhicules automobiles</title>
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                <term xml:lang="en">continuous Takagi-Sugeno (T-S) fuzzy models</term>
                <term xml:lang="en">automotive vehicle lateral dynamics (AVLD)</term>
                <term xml:lang="en">fault estimation (FE)</term>
                <term xml:lang="en">linear matrix inequality (LMI)</term>
                <term xml:lang="en">fault-tolerant control (FTC)</term>
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              <p>This article presents a fault-tolerant control (FTC) procedure for the automotive vehicle lateral dynamics (AVLD) described by the Takagi-Sugeno (T-S) fuzzy models. This approach focuses on actuator faults, which requires knowledge of the system parameters and the faults that are occurring. For this reason, T-S fuzzy observers are suitable for simultaneously estimating system states and actuator faults. The proposed control makes it possible to maintain vehicle stability even in the presence of faults. The design of fuzzy observers and fuzzy controllers is mainly based on the one-step method of Lyapunov, which is provided in the form of linear matrix inequalities (LMIs). The simulation results clearly illustrate the effectiveness of the applied controller strategy to maintain vehicle stability.</p>
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              <p>Cet article présente une procédure de contrôle à tolérance de pannes (FTC) pour la dynamique latérale des véhicules automobiles (AVLD) décrite par les modèles flous Takagi-Sugeno (T-S). Cette approche se concentre sur les défauts des actionneurs, ce qui nécessite la connaissance des paramètres du système et des défauts qui se produisent. Pour cette raison, les observateurs flous T-S sont adaptés pour estimer simultanément les états du système et les défauts des actionneurs. Le contrôle proposé permet de maintenir la stabilité du véhicule même en présence de défauts. La conception des observateurs flous et des contrôleurs flous est principalement basée sur la méthode en une étape de Lyapunov, qui est fournie sous la forme d'inégalités matricielles linéaires (IML). Les résultats de la simulation illustrent clairement l'efficacité de la stratégie de contrôle appliquée pour maintenir la stabilité du véhicule.</p>
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