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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems, Jinkun Liu


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Автор: Jinkun Liu
Название:  Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
ISBN: 9783642434556
Издательство: Springer
Классификация:




ISBN-10: 364243455X
Обложка/Формат: Paperback
Страницы: 365
Вес: 0.54 кг.
Дата издания: 26.06.2015
Язык: English
Размер: 234 x 156 x 20
Основная тема: Engineering
Подзаголовок: Design, Analysis and Matlab Simulation
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.


Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Автор: Jinkun Liu
Название: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
ISBN: 3642348157 ISBN-13(EAN): 9783642348150
Издательство: Springer
Рейтинг:
Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.

Analysis and Control of Underactuated Mechanical Systems

Автор: Amal Choukchou-Braham; Brahim Cherki; Mohamed Djem
Название: Analysis and Control of Underactuated Mechanical Systems
ISBN: 3319026356 ISBN-13(EAN): 9783319026350
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This book provides tools for the analysis and control of underactuated systems: those with fewer control inputs than degrees of freedom to be controlled. The text is supplemented with MATLAB (R) simulations demonstrating the effectiveness of the methods detailed.

Fully Tuned Radial Basis Function Neural Networks for Flight Control

Автор: N. Sundararajan; P. Saratchandran; Yan Li
Название: Fully Tuned Radial Basis Function Neural Networks for Flight Control
ISBN: 1441949151 ISBN-13(EAN): 9781441949158
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications.

Dynamics and Control of Mechanical Systems in Offshore Engineering

Автор: Wei He; Shuzhi Sam Ge; Bernard Voon Ee How; Yoo Sa
Название: Dynamics and Control of Mechanical Systems in Offshore Engineering
ISBN: 1447153367 ISBN-13(EAN): 9781447153368
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book covers nonlinear dynamic modeling and stability analysis of flexible riser systems, advanced control design for an installation system with a single rigid payload attached by thrusters, robust adaptive control for mooring systems and other topics.

Non-linear Control for Underactuated Mechanical Systems

Автор: Isabelle Fantoni; Rogelio Lozano
Название: Non-linear Control for Underactuated Mechanical Systems
ISBN: 1447110862 ISBN-13(EAN): 9781447110866
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book deals with the application of modern control theory to some important underactuated mechanical systems, from the inverted pendulum to the helicopter model. It will help readers gain experience in the modelling of mechanical systems and familiarize with new control methods for non-linear systems.

Radial Basis Function Networks 2

Автор: Robert J. Howlett; Lakhmi C. Jain
Название: Radial Basis Function Networks 2
ISBN: 3790824836 ISBN-13(EAN): 9783790824834
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research.

Neural Network Engineering in Dynamic Control Systems

Автор: Kenneth J. Hunt; George R. Irwin; Kevin Warwick
Название: Neural Network Engineering in Dynamic Control Systems
ISBN: 1447130685 ISBN-13(EAN): 9781447130680
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ....

Block Backstepping Design of Nonlinear State Feedback Control Law for Underactuated Mechanical Systems

Автор: Rudra
Название: Block Backstepping Design of Nonlinear State Feedback Control Law for Underactuated Mechanical Systems
ISBN: 981101955X ISBN-13(EAN): 9789811019555
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This book presents a novel, generalized approach to the design of nonlinear state feedback control laws for a large class of underactuated mechanical systems based on application of the block backstepping method. The control law proposed here is robust against the effects of model uncertainty in dynamic and steady-state performance and addresses the issue of asymptotic stabilization for the class of underactuated mechanical systems.
An underactuated system is defined as one for which the dimension of space spanned by the configuration vector is greater than that of the space spanned by the control variables. Control problems concerning underactuated systems currently represent an active field of research due to their broad range of applications in robotics, aerospace, and marine contexts.
The book derives a generalized theory of block backstepping control design for underactuated mechanical systems, and examines several case studies that cover interesting examples of underactuated mechanical systems. The mathematical derivations are described using well-known notations and simple algebra, without the need for any special previous background in higher mathematics. The chapters are lucidly described in a systematic manner, starting with control system preliminaries and moving on to a generalized description of the block backstepping method, before turning to several case studies. Simulation and experimental results are also provided to aid in reader comprehension.

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