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OverviewThis monograph presents a unified synthesis on how to design robust and predictive control approaches for discrete-time Linear Parameter Varying (LPV) systems. In particular, some recent results concerning LPV state-feedback design using the H∞ framework and Model Predictive Control for LPV systems are presented. Thereafter, both approaches are illustrated in several important case studies for automotive applications. Firstly, the lateral steering control of autonomous vehicles is considered. Then, an application to Advanced Driver Assistance Systems is presented, where MPC and LPV approaches are integrated in view of optimal selection of the scheduling parameter. This monograph will be of interest to students, researchers and professionals who want to learn more about designing robust and predictive control approaches for discrete-time Linear Parameter Varying systems. Full Product DetailsAuthor: Olivier Sename , Ariel Medero Borrell , Marcelo Menezes MoratoPublisher: now publishers Inc Imprint: now publishers Inc Weight: 0.167kg ISBN: 9781638283942ISBN 10: 163828394 Pages: 110 Publication Date: 25 September 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction 2. Robust LPV Control Synthesis 3. Predictive Control Design with the LPV Framework 4. Applications to Lateral Control of Autonomous Vehicles 5. Applications to Advanced Driver-Assistance Systems (ADAS) 6. Perspectives Acknowledgements ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |