Control Mechanisms for Ecological-Economic Systems, Vladimir N. Burkov; Dmitry A. Novikov; Alexander V
Автор: Sul Название: Control of Electric Machine Drive Systems ISBN: 0470590793 ISBN-13(EAN): 9780470590799 Издательство: Wiley Рейтинг: Цена: 20901.00 р. 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: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.) Название: Design and Control of Intelligent Robotic Systems ISBN: 3540899324 ISBN-13(EAN): 9783540899327 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.
Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.
Автор: Tongwen Chen; Bruce A. Francis Название: Optimal Sampled-Data Control Systems ISBN: 1447130391 ISBN-13(EAN): 9781447130390 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller.
Автор: Vladimir N. Burkov; Dmitry A. Novikov; Alexander V Название: Control Mechanisms for Ecological-Economic Systems ISBN: 3319109146 ISBN-13(EAN): 9783319109145 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Control Mechanisms for Ecological-Economic Systems
Описание: Arthropods are invertebrates that constitute over 90% of the animal kingdom, and their bio-ecology is closely linked with global functioning and survival. Arthropods play an important role in maintaining the health of ecosystems, provide livelihoods and nutrition to human communities, and are important indicators of environmental change. Yet the population trends of several arthropods species show them to be in decline. Arthropods constitute a dominant group with 1.2 million species influencing earth’s biodiversity. Among arthropods, insects are predominant, with ca. 1 million species and having evolved some 350 million years ago. Arthropods are closely associated with living and non-living entities alike, making the ecosystem services they provide crucially important. In order to be effective, plans for the conservation of arthropods and ecosystems should include a mixture of strategies like protecting key habitats and genomic studies to formulate relevant policies for in situ and ex situ conservation. This two-volume book focuses on capturing the essentials of arthropod inventories, biology, and conservation. Further, it seeks to identify the mechanisms by which arthropod populations can be sustained in terrestrial and aquatic ecosystems, and by means of which certain problematic species be managed without producing harmful environmental side-effects. This edited compilation includes chapters contributed by over 80 biologists on a wide range of topics embracing the diversity, distribution, utility and conservation of arthropods and select groups of insect taxa. More importantly, it describes in detail the mechanisms of sustaining arthropod ecosystems, services and populations. It addresses the contribution of modern biological tools such as molecular and genetic techniques regulating gene expression, as well as conventional, indigenous practices in arthropod conservation. The contributors reiterate the importance of documenting and understanding the biology of arthropods from a holistic perspective before addressing conservation issues at large. This book offers a valuable resource for all zoologists, entomologists, ecologists, conservation biologists, policy makers, teachers and students interested in the conservation of biological resources.
Описание: This volume contains the papers submitted to the interdisciplinary symposium Enforcing Environmental Standards: Economic Mechanisms as Viable Means? organized by the Max Planck Institute for Comparative Public Law and International Law.
Автор: Jean-Luc Faillot Название: Vibration Control of Flexible Servo Mechanisms ISBN: 3540561420 ISBN-13(EAN): 9783540561422 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reports the achievements of an ESPRIT project on the problems linked with the control of light-weight robots. It describes the design and development of a high-performance robot for use in Flexible Automated Assembly Program (FAAS) environments.
Автор: Matthias Ruth; Bruce Hannon Название: Modeling Dynamic Economic Systems ISBN: 1493937014 ISBN-13(EAN): 9781493937011 Издательство: Springer Рейтинг: Цена: 9776.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Its models created using STELLA software, this new edition has been updated to facilitate student access. It explores the dynamic processes in economic systems and concentrates on natural resource extraction, covering everything from chaos to microeconomics.
Описание: Expanding on central portions of the theory explored in the first edition, this reworking of the seminal economics text examines applications engendered by the concept of discontinuity in various subdisciplines of economics, including urban and evolutionary.
Автор: Craig R. Allen; Ahjond S. Garmestani Название: Adaptive Management of Social-Ecological Systems ISBN: 9401796815 ISBN-13(EAN): 9789401796811 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Adaptive management is an approach to managing social-ecological systems that fosters learning about the systems being managed and remains at the forefront of environmental management nearly 40 years after its original conception. Adaptive management persists because it allows action despite uncertainty, and uncertainty is reduced when learning occurs during the management process. Often termed “learning by doing”, the allure of this management approach has entrenched the concept widely in agency direction and statutory mandates across the globe. This exceptional volume is a collection of essays on the past, present and future of adaptive management written by prominent authors with long experience in developing, implementing, and assessing adaptive management. Moving forward, the book provides policymakers, managers and scientists a powerful tool for managing for resilience in the face of uncertainty.
Автор: Ellis Название: Economic Model Predictive Control ISBN: 3319411071 ISBN-13(EAN): 9783319411071 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.
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