Management of Electrical Machine Using Torque Control Strategy
Chapter one of this brief discussed the techniques to control the kinematic motion of the articulated agents in such a way that they avoid collision with obstacles in the surrounding environment. However, chapter one just considers the problem of generati
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Management and Intelligent Decision-Making in Complex Systems: An OptimizationDriven Approach
Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach
Ameer Hamza Khan Xinwei Cao Shuai Li •
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Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach
123
Ameer Hamza Khan Department of Computing Hong Kong Polytechnic University Hong Kong, Hong Kong
Xinwei Cao School of Management Shanghai University Shanghai, China
Shuai Li School of Information Science and Engineering Lanzhou University Swansea, UK
ISBN 978-981-15-9391-8 ISBN 978-981-15-9392-5 https://doi.org/10.1007/978-981-15-9392-5
(eBook)
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Management is about the manipulation of information, including planning, organizing, directing, and controlling, for a process under given input to reach a certain amount of optimality in output. Management is everywhere, from marketing to politics, from individuals to society, from natural science to social science. Better management grants an opportunity for managers to make better decisions. This is especially important to complex systems, as existing theories are mostly developed to benchmark problems traditionally described by concise and simplified mathematic models. In the era of big data, The huge amount of data and the advance of big data analytic techniques give us new insights into the resolution of complex system management and decision-making. This book provides a timely report on our results along this research direc
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