Control Problems of Discrete-Time Dynamical Systems, Yasumichi Hasegawa
Автор: Sul Название: Control of Electric Machine Drive Systems ISBN: 0470590793 ISBN-13(EAN): 9780470590799 Издательство: Wiley Рейтинг: Цена: 139340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.
Автор: Oded Galor Название: Discrete Dynamical Systems ISBN: 3642071856 ISBN-13(EAN): 9783642071850 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book characterizes the fundamental factors that govern the quantitative and qualitative trajectories of a variety of deterministic, discrete dynamical systems, providing solution methods for systems that can be solved analytically and methods of qualitative analysis for those systems that do not permit or necessitate an explicit solution.
Автор: Mughal Название: Real Time Modeling, Simulation and Control of Dynamical Systems ISBN: 3319339052 ISBN-13(EAN): 9783319339054 Издательство: Springer Рейтинг: Цена: 113190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.
Автор: Lixian Zhang; Yanzheng Zhu; Peng Shi; Qiugang Lu Название: Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering ISBN: 3319288490 ISBN-13(EAN): 9783319288499 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.
Автор: Elhadj Zeraoulia Et Al Название: Frontiers In The Study Of Chaotic Dynamical Systems With Open Problems ISBN: 9814340693 ISBN-13(EAN): 9789814340694 Издательство: World Scientific Publishing Рейтинг: Цена: 97150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A collection of review articles that deals with the developments in the study of chaotic dynamical systems with some open problems and challenges. It presents a variety of topics of interest and problems arising in the study of both discrete and continuous time chaotic dynamical systems.
Автор: Hoai-Nam Nguyen Название: Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems ISBN: 331902826X ISBN-13(EAN): 9783319028262 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focusing on groundbreaking interpolating control methods that are computationally simpler than model predictive control, particularly for high-order systems, this text includes a wealth of worked examples and a collection of adaptable MATLAB (R) script files.
Автор: Jagannathan Sarangapani Название: Neural Network Control of Nonlinear Discrete-Time Systems ISBN: 0824726774 ISBN-13(EAN): 9780824726775 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Невозможна поставка. 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.
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