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Автор: Yinyan Zhang, Shuai Li
Издательство: Springer
Год: 2019 (2020 Edition)
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB
This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances. Reinforcement learning and, in particular, deep reinforcement learning have attracted more and more research interest in recent years. Such type of learning methods could be a powerful tool for the control of nonlinear systems.