Providing an exceptional balance of theory and practical information, Decentralized Estimation and Control for Multisensor Systems explores developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. It helps remove limitations within decentralized data fusion algorithms and extend the principle to problems involving local control and actuation. The author demonstrates applying the theory to a modular wheeled mobile robot, a vehicle system with nonlinear kinematics, and ...
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Providing an exceptional balance of theory and practical information, Decentralized Estimation and Control for Multisensor Systems explores developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. It helps remove limitations within decentralized data fusion algorithms and extend the principle to problems involving local control and actuation. The author demonstrates applying the theory to a modular wheeled mobile robot, a vehicle system with nonlinear kinematics, and distributed means of acquiring information and discusses extending the applications to other robotic systems and large scale systems.
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