Titlebook: Decentralized Neural Control: Application to Robotics; Ramon Garcia-Hernandez,Michel Lopez-Franco,Jose A. Book 2017 Springer International

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Schule und Rassismus in den USAThis chapter deals with trajectory tracking for a class of discrete-time decentralized nonlinear systems. A high order neural network is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form. The neural network learning is performed on-line by extended Kalman filtering.

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https://doi.org/10.1007/978-3-322-80104-3In this book, four decentralized control schemes are described as follows.

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nugatory

Foundations,In this chapter, important mathematical preliminaries, required in future chapters are presented, including stability definitions, some neural networks models, the extended Kalman filter learning algorithm and optimal control introduction.

Euphonious

Decentralized Neural Backstepping Control,This chapter deals with trajectory tracking for a class of discrete-time decentralized nonlinear systems. A high order neural network is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form. The neural network learning is performed on-line by extended Kalman filtering.

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Ordeal

https://doi.org/10.1007/978-3-319-53312-4Decentralized Neural Control; Robotics; Computational Intelligence; Intelligent Systems; Neural Control

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Studies in Systems, Decision and Controlhttp://image.papertrans.cn/d/image/264149.jpg