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Learning-Based Adaptive Control An Extremum Seeking Approach ? Theory and Applications【電子書籍】[ Mouhacine Benosman ]

＜p＞Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained.＜/p＞ ＜ul＞ ＜li＞Includes a good number of Mechatronics Examples of the techniques.＜/li＞ ＜li＞Compares and blends Model-free and Model-based learning algorithms.＜/li＞ ＜li＞Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。

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