Описание: In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system.
Автор: Yuanguo Zhu Название: Uncertain Optimal Control ISBN: 9811321337 ISBN-13(EAN): 9789811321337 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games.The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Описание: This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems.
Автор: Stanislav V. Emelyanov; Sergey K. Korovin Название: Control of Complex and Uncertain Systems ISBN: 1447111982 ISBN-13(EAN): 9781447111986 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the evolution of feedback theory, from its simplest form to more complex guises, and connects this to the control of complex systems. This book aims to increase the understanding of potential reactions of such systems to uncertain forces and unknown factors contained in feedback mechanisms.
Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.
Автор: Wen Yu, Raheleh Jafari Название: Fuzzy Modeling and Control of Uncertain Nonlinear Systems ISBN: 111949155X ISBN-13(EAN): 9781119491552 Издательство: Wiley Рейтинг: Цена: 13298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations
There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations.
The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book:
Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations
Includes an overview of uncertain nonlinear systems for non-specialists
Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development
Reinforces comprehension with illustrations, tables, examples, and simulations
Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.
This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.
Автор: R?mulo Ant?o Название: Type-2 Fuzzy Logic ISBN: 9811351872 ISBN-13(EAN): 9789811351877 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers`understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model;
Автор: Andreas Rauh; Luise Senkel Название: Variable-Structure Approaches ISBN: 3319315374 ISBN-13(EAN): 9783319315379 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited book aims at presenting current research activities in the field of robust variable-structure systems. The scope equally comprises highlighting novel methodological aspects as well as presenting the use of variable-structure techniques in industrial applications including their efficient implementation on hardware for real-time control.
Автор: Rosario Toscano Название: Structured Controllers for Uncertain Systems ISBN: 1447159152 ISBN-13(EAN): 9781447159155 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how to overcome system limitations imposed by lack of computing power or structure intrinsic to a controller. It offers detailed examples throughout, to aid readers in familiarizing themselves with the concepts presented.
Автор: Bhattacharyya, Shankar P. Название: Control of Uncertain Dynamic Systems ISBN: 0849301955 ISBN-13(EAN): 9780849301957 Издательство: Taylor&Francis Рейтинг: Цена: 56654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Rama K. Yedavalli Название: Robust Control of Uncertain Dynamic Systems ISBN: 1493940899 ISBN-13(EAN): 9781493940899 Издательство: Springer Рейтинг: Цена: 9794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details the tools of analysis and design for robust stability and performance of uncertain dynamic systems. It illustrates various systems level methodologies with applications from aerospace, electrical and mechanical engineering.
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