Автор: Borrelli Название: Predictive Control for Linear and Hybrid Systems ISBN: 1107652871 ISBN-13(EAN): 9781107652873 Издательство: Cambridge Academ Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.
Автор: Simona Onori; Lorenzo Serrao; Giorgio Rizzoni Название: Hybrid Electric Vehicles ISBN: 1447167791 ISBN-13(EAN): 9781447167792 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle's power is provided by each source instant by instant.
Hybrid Electric Vehicles
-introduces methods for modeling energy flow in hybrid electric vehicles;
-presents a standard mathematical formulation of the optimal control problem;
-discusses different optimization and control strategies for energy management, integrating the most recent research results; and
-carries out an overall comparison of the different control strategies presented.
Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Автор: Khorrami, F. Krishnamurthy, Prashant Melkote, H. Название: Modeling and adaptive nonlinear control of electric motors ISBN: 3642056679 ISBN-13(EAN): 9783642056673 Издательство: Springer Рейтинг: Цена: 32651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This research monograph considers modelling and control design of electric motors, namely step motors, brushless DC motors and induction motors. The book reports new global robust adaptive designs for motors and provides new tools for control designs, with an emphasis on stepper motors.
Автор: Howard Kaufman; D.S. Bayard; Itzhak Barkana; G.W. Название: Direct Adaptive Control Algorithms: ISBN: 1468402196 ISBN-13(EAN): 9781468402193 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Suitable either as a reference or as a text for a graduate course in adaptive control systems, this book is a self-contained compendium of easily implementable adaptive control algorithms that have been developed and applied by the authors for over 10 years.
Автор: Spandan Roy; Indra Narayan Kar Название: Adaptive-Robust Control with Limited Knowledge on Systems Dynamics ISBN: 9811506396 ISBN-13(EAN): 9789811506390 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC.
Автор: Derong Liu; Qinglai Wei; Ding Wang; Xiong Yang; Ho Название: Adaptive Dynamic Programming with Applications in Optimal Control ISBN: 3319844970 ISBN-13(EAN): 9783319844978 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Нет в наличии.
Описание: Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory.
Автор: Nikiforov Название: Adaptive Regulation ISBN: 3030960900 ISBN-13(EAN): 9783030960902 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The monograph also discusses the adaptive rejection/tracking of a priori uncertain exogenous signals in systems with input delay, the problems of performance improvement in disturbance rejection and reference tracking and the issue of robustness of closed-loop systems.
Автор: Bellman Richard E. Название: Adaptive Control Processes: A Guided Tour ISBN: 0691625859 ISBN-13(EAN): 9780691625850 Издательство: Wiley Рейтинг: Цена: 7128.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this work is to present a unified approach to the modern field of control theory and to provide a technique for making problems involving deterministic, stochastic, and adaptive processes of both linear and nonlinear type amenable to machine solution. Mr. Bellman has used the theory of dynamic programming to formulate, analyze, and prepa
Автор: Graham Goodwin Название: Model Identification and Adaptive Control ISBN: 1447111850 ISBN-13(EAN): 9781447111856 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is based on a workshop entitled.: Model " Identification and Adap- tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus- tralia, on December 16, 2000.
Автор: Christoph M. Hackl Название: Non-identifier Based Adaptive Control in Mechatronics ISBN: 3319550349 ISBN-13(EAN): 9783319550343 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Motivation and outline.- Brief historical overview of control systems, mechatronics and motion control.- Problem statement for mechatronic systems.- Contributions of this book.- Mathematical preliminaries.- High-gain adaptive stabilization.- High-gain adaptive tracking with internal model.- Adaptive λ-tracking control.- Funnel control.- Joint position control of rigid-link revolute-joint robotic manipulator.- Conclusion.- Problems and solutions.
Автор: Marcin Szuster; Zenon Hendzel Название: Intelligent Optimal Adaptive Control for Mechatronic Systems ISBN: 3319688243 ISBN-13(EAN): 9783319688244 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.
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