9783845401683 - MPC-on-Chip in Application to Automotive Active Suspension System de Shoukry, Yasser (6 resultados)

Taschenbuch. Condición: Neu. MPC-on-Chip in Application to Automotive Active Suspension System | Yasser Shoukry | Taschenbuch | 144 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845401683 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Applying a computationally intensive control algorithm inside an embedded time-safety-critical application represents a Cyber-Physical challenge. This book applies Generalized Predictive Control on automotive active suspension system. The main objective of any automotive active suspension system is to achieve an acceptable behavior, i.e., ride comfort, over a range of working frequencies while minimizing the exerted energy. Book's objective is to proof the ability of using time-consuming advanced control algorithms on time-safety-critical embedded applications while satisfying tight real-time constraints.Matrix operations consume a large portion of the overall execution time of the online computation of the controller. A hardware co-processor based on a set of systolic arrays is proposed to meet real-time constraints. The proposed computing system is then integrated inside an ARM-based embedded platform using the state-of-the-art CAP9 technology. The proposed computation system is verified to meet real-time constraints over wide range of tuning parameters. 144 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shoukry YasserA PhD student in Electrical Engineering, Univ of California Los Angeles. Previously he was a graduate research assistant at the department of Computer and Systems Engineering,Ain Shams University,Egypt. Main research in.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Applying a computationally intensive control algorithm inside an embedded time-safety-critical application represents a Cyber-Physical challenge. This book applies Generalized Predictive Control on automotive active suspension system. The main objective of any automotive active suspension system is to achieve an acceptable behavior, i.e., ride comfort, over a range of working frequencies while minimizing the exerted energy. Book's objective is to proof the ability of using time-consuming advanced control algorithms on time-safety-critical embedded applications while satisfying tight real-time constraints.Matrix operations consume a large portion of the overall execution time of the online computation of the controller. A hardware co-processor based on a set of systolic arrays is proposed to meet real-time constraints. The proposed computing system is then integrated inside an ARM-based embedded platform using the state-of-the-art CAP9 technology. The proposed computation system is verified to meet real-time constraints over wide range of tuning parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Applying a computationally intensive control algorithm inside an embedded time-safety-critical application represents a Cyber-Physical challenge. This book applies Generalized Predictive Control on automotive active suspension system. The main objective of any automotive active suspension system is to achieve an acceptable behavior, i.e., ride comfort, over a range of working frequencies while minimizing the exerted energy. Book's objective is to proof the ability of using time-consuming advanced control algorithms on time-safety-critical embedded applications while satisfying tight real-time constraints.Matrix operations consume a large portion of the overall execution time of the online computation of the controller. A hardware co-processor based on a set of systolic arrays is proposed to meet real-time constraints. The proposed computing system is then integrated inside an ARM-based embedded platform using the state-of-the-art CAP9 technology. The proposed computation system is verified to meet real-time constraints over wide range of tuning parameters.