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Description
This book covers complex issues for a vehicle suspension model including non-linearities and uncertainties in a suspension model, network-induced time delays, and sampled-data model from a theoretical point of view. It includes control design methods as neural network supervisory, sliding mode variable structure, and optimal control, internal-model principle, feedback linearization control, input-to-state stabilization, and so forth. Every control method is applied to simulation for comparison and verification.
Features:
This book is aimed at researchers and graduate students in automotive engineering, vehicle vibration, mechatronics, control systems, applied mechanics, and vehicle dynamics.
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This book covers complex issues for a vehicle suspension model including non-linearities and uncertainties in a suspension model, network-induced time delays, and sampled-data model from a theoretical point of view. It includes control design methods as neural network supervisory, sliding mode variable structure, and optimal control, internal-model principle, feedback linearization control, input-to-state stabilization, and so forth. Every control method is applied to simulation for comparison and verification.
Features:
This book is aimed at researchers and graduate students in automotive engineering, vehicle vibration, mechatronics, control systems, applied mechanics, and vehicle dynamics.
Reviews