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portada Advanced and Optimization Based Sliding Mode Control. Theory and Applications
Type
Physical Book
Publisher
Author
Collection
Advances in Design and Control
Year
2019
Language
English
Pages
279
Format
Paperback
ISBN13
9781611975833

Advanced and Optimization Based Sliding Mode Control. Theory and Applications

Antonella Ferrara;Gian Paolo Incremona;Michele Cucuzzella (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Advanced and Optimization Based Sliding Mode Control. Theory and Applications - Antonella Ferrara;Gian Paolo Incremona;Michele Cucuzzella

New Book Imported to Taiwan
Delivery: 24 Sep - 02 Oct Shipping: 13 to 14 business days.
NT$ 3,993
NT$ 3,993

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Synopsis "Advanced and Optimization Based Sliding Mode Control. Theory and Applications"

Discusses sliding mode control of uncertain nonlinear systems, with a particular emphasis on advanced and optimization based algorithms. This is the first book to systematize the theory of optimization based higher order sliding mode control and illustrate advanced algorithms and their applications to real problems.

A compendium of the authors’ recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new methods of advanced sliding mode control. They analyze classical theory and advanced algorithms, with numerical results complementing the theoretical treatment. Case studies examine applications of the algorithms to complex robotics and power grid problems.

Advanced and Optimization Based Sliding Mode Control: Theory and Applications is the first book to systematize the theory of optimization based higher order sliding mode control and illustrate advanced algorithms and their applications to real problems. It presents systematic treatment of event-triggered and model based event-triggered sliding mode control schemes, including schemes in combination with model predictive control, and presents adaptive algorithms as well as algorithms capable of dealing with state and input constraints. Additionally, the book includes simulations and experimental results obtained by applying the presented control strategies to real complex systems.

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