Описание: Identification Modeling and Characteristics of Miniature Rotorcraft introduces an approach to developing a simple and effective linear parameterized model of vehicle dynamics using the CIFERГў identification tool created by the Army/NASA Rotorcraft Division. It also presents the first application of the advanced control system optimization tool CONDUITГў to systematically and efficiently tune control laws for a model-scale UAV helicopter against multiple and competing dynamic response criteria.Identification Modeling and Characteristics of Miniature Rotorcraft presents the detailed account of how the theory was developed, the experimentation performed, and how the results were used. This book will serve as a basic and illustrative guide for all students that are interested in developing autonomous flying helicopters.
Описание: The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance.
Автор: Robert Haber; L. Keviczky Название: Nonlinear System Identification — Input-Output Modeling Approach ISBN: 0792358589 ISBN-13(EAN): 9780792358589 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance.
Автор: Tony Roskilly Название: Marine Systems Identification, Modeling and Control ISBN: 0080999964 ISBN-13(EAN): 9780080999968 Издательство: Elsevier Science Рейтинг: Цена: 12801.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the theory and practice of dynamic systems and control for marine engineering students and professionals. Developed from a distance learning CPD course on marine control taught by the authors, this book presents the essentials of the subject, including system representation and transfer, feedback control and closed loop stability.
Описание: This book explores the missing details of the linear parameter-varying (LPV) system theory that have hindered the formulation of a well established identification framework. It covers the key issues from system theory to modeling and identification.
Автор: Robert Haber; L. Keviczky Название: Nonlinear System Identification — Input-Output Modeling Approach ISBN: 9401059209 ISBN-13(EAN): 9789401059206 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Identification Modeling and Characteristics of Miniature Rotorcraft introduces an approach to developing a simple and effective linear parameterized model of vehicle dynamics using the CIFERa identification tool created by the Army/NASA Rotorcraft Division. It also presents the first application of the advanced control system optimization tool CONDUITa to systematically and efficiently tune control laws for a model-scale UAV helicopter against multiple and competing dynamic response criteria.
Identification Modeling and Characteristics of Miniature Rotorcraft presents the detailed account of how the theory was developed, the experimentation performed, and how the results were used.
This book will serve as a basic and illustrative guide for all students that are interested in developing autonomous flying helicopters.
Автор: Tarkhov, Dmitriy Название: Tarkhov-Semi-Empirical Neural Network Modeling ISBN: 0128156511 ISBN-13(EAN): 9780128156513 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest.
Offers a new approach to neural networks using a unified simulation model at all stages of design and operation
Illustrates this new approach with numerous concrete examples throughout the book
Presents the methodology in separate and clearly-defined stages
