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Neural Network-Based State Estimation of Nonlinear Systems, Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat


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Цена: 104480.00T
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Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название:  Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 9781441914378
Издательство: Springer
Классификация:




ISBN-10: 1441914374
Обложка/Формат: Soft cover
Страницы: 154
Вес: 0.57 кг.
Дата издания: 14.12.2009
Серия: Lecture Notes in Control and Information Sciences
Язык: English
Иллюстрации: 100 illustrations, black and white; xix, 154 p. 100 illus.
Размер: 234 x 156 x 10
Читательская аудитория: Professional & vocational
Основная тема: Control
Подзаголовок: Application to Fault Detection and Isolation
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

State Estimation in Electric Power Systems A Generalized Approach

Автор: Monticelli, A.
Название: State Estimation in Electric Power Systems A Generalized Approach
ISBN: 0792385195 ISBN-13(EAN): 9780792385196
Издательство: Springer
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Цена: 204970.00 T
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Описание: State Estimation in Electric Power Systems: A Generalized Approach provides for the first time a comprehensive introduction to the topic of state estimation at an advanced textbook level. The theory as well as practice of weighted least squares (WLS) is covered with significant rigor. Included are an in depth analysis of power flow basics, proper justification of Stott's decoupled method, observability theory and matrix solution methods. In terms of practical application, topics such as bad data analysis, combinatorial bad data analysis and multiple snap shot estimation are covered. The book caters both to the specialist as well as the newcomer to the field. State estimation will play a crucial role in the emerging scenario of a deregulated power industry. Many market decisions will be based on knowing the present state of the system accurately. State Estimation in Electric Power Systems: A Generalized Approach crystallizes thirty years of WLS state estimation theory and practice in power systems and focuses on techniques adopted by state estimation developers worldwide. The book also reflects the experience of developing industrial-grade state estimation software that is used in the USA, South America, and many other places in world.

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®

Автор: Zhang
Название: Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®
ISBN: 3319323237 ISBN-13(EAN): 9783319323237
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces several observer-based methods, including:• the sliding-mode observer• the adaptive observer• the unknown-input observer and• the descriptor observer methodfor the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H? control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Neural Network Control of Nonlinear Discrete-Time Systems

Автор: Jagannathan Sarangapani
Название: Neural Network Control of Nonlinear Discrete-Time Systems
ISBN: 0824726774 ISBN-13(EAN): 9780824726775
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Presents modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. This book builds from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, and novel optimal control using the Hamilton-Jacobi-Bellman formulation.

Nonlinear stochastic systems with network-induced phenomena

Автор: Hu, Jun Wang, Zidong Gao, Huijun
Название: Nonlinear stochastic systems with network-induced phenomena
ISBN: 331908710X ISBN-13(EAN): 9783319087108
Издательство: Springer
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Цена: 130430.00 T
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Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion

Автор: Xingjian Jing; Ziqiang Lang
Название: Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion
ISBN: 3319123904 ISBN-13(EAN): 9783319123905
Издательство: Springer
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Цена: 130610.00 T
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Описание: This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years.

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: 111790.00 T
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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.

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
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Цена: 156720.00 T
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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.

Event-Based State Estimation

Автор: Dawei Shi; Ling Shi; Tongwen Chen
Название: Event-Based State Estimation
ISBN: 3319266047 ISBN-13(EAN): 9783319266046
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book explores event-based estimation problems.

Nonlinear Systems Tracking

Автор: Lyubomir T. Gruyitch
Название: Nonlinear Systems Tracking
ISBN: 1498753256 ISBN-13(EAN): 9781498753258
Издательство: Taylor&Francis
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Цена: 193950.00 T
Наличие на складе: Невозможна поставка.
Описание:

Tracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking is essential to guarantee high-quality behavior.

Nonlinear Systems Tracking establishes the tracking theory, trackability theory, and tracking control synthesis for time-varying nonlinear plants and their control systems as parts of control theory. Treating general dynamical and control systems, including subclasses of input-output and state-space nonlinear systems, the book:

  • Describes the crucial tracking control concepts that comprise effective tracking control algorithms
  • Defines the main tracking and trackability properties involved, identifying properties both perfect and imperfect
  • Details the corresponding conditions needed for the controlled plant to exhibit each property
  • Discusses various algorithms for tracking control synthesis, attacking the tracking control synthesis problems themselves
  • Depicts the effective synthesis of the tracking control, under the action of which, the plant behavior satisfies all the imposed tracking requirements resulting from its purpose

With clarity and precision, Nonlinear Systems Tracking provides original coverage, presenting discovery and proofs of new tracking criteria and control algorithms. Thus, the book creates new directions for research in control theory, enabling fruitful new control engineering applications.



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