Learning-Based Adaptive Control

An Extremum Seeking Approach - Theory and Applications

Автор: Mouhacine Benosman

Език:

Корици: С меки корици

Издател: Elsevier - Health Sciences Division

Наличност: Налично при издателя, по поръчка

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Adaptive Control seeks for optimal action based on the current characteristics of a system and learn...

Информация за книгата

Автор

Mouhacine Benosman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

282

EAN

9780128031360

ISBN

0128031360

Enbook ID

10932633

Издател

Elsevier - Health Sciences Division

Теглоt

446

Размери

320 x 231 x 18

Пълно описание

Adaptive Control seeks for optimal action based on the current characteristics of a system and learning how the characteristics change along the way, opposed to a plain Robust Control approach that establishes a range of variation in the parameters and ensures the stability of the systems within those values. Two are the main approaches to the learning process: Model Based and Model Free being so that in the first case you have to precisely model the characteristics of a system and they have to remain stable. For Model Free Adaptive Control you start knowing nothing about the system and learning from action (inputs) and reaction (outputs). This will be the first book that offers a blended approach to Adaptive Control having some physical modeling but allowing the characteristics to evolve naturally over time maintaining the stability of the system. In the cases presented by the author there is remarkable gain in performance and adaptability of the systems by applying his findings. Includes a good number of Mechatronics Examples of the techniquesCompares and blends Model-free and Model-based learning algorithmsCoverage of fundamental concepts, state of the art research, necessary tools for modeling, and applications

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Learning-Based Adaptive Control

An Extremum Seeking Approach - Theory and Applications

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също