Cooperative Optimal Control of Hybrid Energy Systems, Yue Dong, Zhang Huifeng, Dou Chunxia
Название: Hybrid Renewable Energy Systems and Microgrids ISBN: 0128217243 ISBN-13(EAN): 9780128217245 Издательство: Elsevier Science Рейтинг: Цена: 21728.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid energy system. Looking at the fundamentals for conventional energy systems, decentralized generation systems, RES technologies and hybrid integration of RES power plants, the most important contribution this book makes is combining emerging energy systems that improve micro and smart grid systems and their components. Sections cover traditional system characteristics, features, challenges and benefits of hybrid energy systems over the conventional power grid, the deployment of emerging power electronic technologies, and up-to-date electronic devices and systems, including AC and DC waveforms.
Conventional, emerging and hierarchical control methods and technologies applied in microgrid operations are covered to give researchers and practitioners the information needed to ensure reliability, resilience and flexibility of implemented hybrid energy systems.
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: Iulian Munteanu; Antoneta Iuliana Bratcu; Nicolaos Название: Optimal Control of Wind Energy Systems ISBN: 1849967245 ISBN-13(EAN): 9781849967242 Издательство: Springer Рейтинг: Цена: 23783.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering all aspects of this important topic, this work presents a review of the main control issues in wind power generation, offering a unified picture of the issues surrounding its optimal control.
A Relaxation Based Approach to Optimal Control of Hybrid and Switched Systems: A Practical Guide for Engineers proposes a unified approach to effective and numerically tractable relaxation schemes for optimal control problems of hybrid and switched systems. The book gives an overview of the existing (conventional and newly developed) relaxation techniques associated with the conventional systems described by ordinary differential equations. Next, it constructs a self-contained relaxation theory for optimal control processes governed by various types (sub-classes) of general hybrid and switched systems. It contains all mathematical tools necessary for an adequate understanding and using of the sophisticated relaxation techniques.
In addition, readers will find many practically oriented optimal control problems related to the new class of dynamic systems. All in all, the book follows engineering and numerical concepts. However, it can also be considered as a mathematical compendium that contains the necessary formal results and important algorithms related to the modern relaxation theory.
Illustrates the use of the relaxation approaches in engineering optimization
Presents application of the relaxation methods in computational schemes for a numerical treatment of the sophisticated hybrid/switched optimal control problems
Offers a rigorous and self-contained mathematical tool for an adequate understanding and practical use of the relaxation techniques
Presents an extension of the relaxation methodology to the new class of applied dynamic systems, namely, to hybrid and switched control systems
Introduction.- Hybrid Renewable Energy Systems Overview.- Power Electronics in Hybrid Renewable Energy Systems.- MPPT methods in Hybrid Renewable Energy Systems.- Storage in Hybrid Renewable Energy Systems.- Sizing of Hybrid Renewable Energy Systems.- Power Management and Supervision of Hybrid Renewable Energy.
Описание: In addition, the thesis presents models of increasing complexity, from single integrator models, to double integrator models, to agents modeled by nonlinear kinematic and dynamic equations, including the familiar unicycle model and nonlinear system equations with drift terms.
Описание: This book focuses on the characteristics of cooperative control problems for general linear multi-agent systems, including formation control, air traffic control, rendezvous, foraging, role assignment, and cooperative search.
Название: Cooperative Control of Multi-agent Systems ISBN: 1447155734 ISBN-13(EAN): 9781447155737 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering readers a wealth of cutting-edge, Riccati-based design techniques for various forms of control, this self-contained text stress-tests the reliability of the methods outlined with rigorous stability analyses and detailed control design algorithms.
Описание: Overview of multi-agent systems cooperation.- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs.- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays.- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays.- Consensus of Nonlinear MASs with Relative State Saturations.- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3).- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties.- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay.- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints.
Автор: Yongduan Song; Yujuan Wang Название: Cooperative Control of Nonlinear Networked Systems ISBN: 303004971X ISBN-13(EAN): 9783030049713 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and distributed control methods for analyzing and synthesizing nonlinear networked systems. The book presents various solutions to cooperative control problems of multiple networked nonlinear systems on graphs.The book includes various examples with segments of MATLAB® codes for readers to verify, validate, and replicate the results. The authors present a series of new control results for nonlinear networked systems subject to both non-parametric and non-vanishing uncertainties, including the cooperative uniformly ultimately bounded (CUUB) result, finite-time stability result, and finite-time cooperative uniformly ultimately bounded (FT-CUUB) result. With some mathematical tools, such as algebraic graph theory and certain aspects of matrix analysis theory introduced by the authors, the readers can obtain a deeper understanding of the roles of matrix operators as mathematical machinery for cooperative control design for multi-agent systems.Cooperative Control of Nonlinear Networked Systems is a valuable source of information for researchers and engineers in cooperative adaptive control, as its technical contents are presented with examples in full analytical and numerical detail, and graphically illustrated for easy-to-understand results. Scientists in research institutes and academics in universities working on nonlinear systems, adaptive control and distributed control will find the book of interest, as it contains multi-disciplinary problems and covers different areas of research.
Автор: Frank L. Lewis; Hongwei Zhang; Kristian Hengster-M Название: Cooperative Control of Multi-Agent Systems ISBN: 1447171942 ISBN-13(EAN): 9781447171942 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering readers a wealth of cutting-edge, Riccati-based design techniques for various forms of control, this self-contained text stress-tests the reliability of the methods outlined with rigorous stability analyses and detailed control design algorithms.
Автор: Li Название: Cooperative Control of Multi-Agent Systems ISBN: 1466569948 ISBN-13(EAN): 9781466569942 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics.
Beginning with an introduction to cooperative control and graph theory, this monograph:
Explores the consensus control problem for continuous-time and discrete-time linear multi-agent systems
Studies the H∞ and H2 consensus problems for linear multi-agent systems subject to external disturbances
Designs distributed adaptive consensus protocols for continuous-time linear multi-agent systems
Considers the distributed tracking control problem for linear multi-agent systems with a leader of nonzero control input
Examines the distributed containment control problem for the case with multiple leaders
Covers the robust cooperative control problem for multi-agent systems with linear nominal agent dynamics subject to heterogeneous matching uncertainties
Discusses the global consensus problem for Lipschitz nonlinear multi-agent systems
Cooperative Control of Multi-Agent Systems: A Consensus Region Approach provides a novel approach to designing distributed cooperative protocols for multi-agent systems with complex dynamics. The proposed consensus region decouples the design of the feedback gain matrices of the cooperative protocols from the communication graph and serves as a measure for the robustness of the protocols to variations of the communication graph. By exploiting the decoupling feature, adaptive cooperative protocols are presented that can be designed and implemented in a fully distributed fashion.
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