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Applying a computationally intensive control algorithm inside an embedded timesafetycritical application represents a CyberPhysical 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 timeconsuming advanced control algorithms on timesafetycritical embedded applications while satisfying tight realtime constraints.Matrix operations consume a large portion of the overall execution time of the online computation of the controller. A hardware coprocessor based on a set of systolic arrays is proposed to meet realtime constraints. The proposed computing system is then integrated inside an ARMbased embedded platform using the stateoftheart CAP9 technology. The proposed computation system is verified to meet realtime constraints over wide range of tuning parameters.
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