Optimization and Control for Systems in the Big-Data Era : Theory and Applications.

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data...

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Bibliographic Details
Main Author: Choi, Tsan-Ming.
Other Authors: Gao, Jianjun., Lambert, James H., Ng, Chi-Kong., Wang, Jun.
Format: eBook
Language: English
Published: Cham : Springer International Publishing, 2017.
Series: International series in operations research & management science.
Subjects:
ISBN: 9783319535180
9783319535166
Physical Description: 1 online resource (281 pages)

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100 1 |a Choi, Tsan-Ming. 
245 1 0 |a Optimization and Control for Systems in the Big-Data Era :  |b Theory and Applications. 
260 |a Cham :  |b Springer International Publishing,  |c 2017. 
300 |a 1 online resource (281 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a International Series in Operations Research & Management Science ;  |v v. 252 
505 0 |a Preface; Contents; Contributors; 1 Optimization and Control for Systems in the Big Data Era: An Introduction; 1.1 Optimization and Control in Big Data Era; 1.2 Reviews on Theories; 1.3 Reviews on Applications; 1.4 Financial Optimization Analysis; 1.5 Operations Analysis; References; Part I Reviews on Optimization and Control Theories; 2 Dual Control in Big Data Era: An Overview; 2.1 Introduction; 2.2 Classification of Controllers; 2.2.1 Non-dual Controller; 2.2.1.1 Certainty Equivalence Controller; 2.2.1.2 One-Step Cautious Controller; 2.2.1.3 The Open-Loop Feedback Optimal Controller. 
505 8 |a 2.2.2 Dual Controller2.2.2.1 Optimal Dual Controller; 2.2.2.2 Suboptimal Dual Controller; 2.2.2.3 Optimal Nominal Dual Controller; 2.3 An Example: LQG Problems with Unknown Parameters; 2.3.1 Optimal Dual Control; 2.3.2 Open-Loop Feedback Control; 2.3.3 Active Open-Loop Feedback Control: Variance Minimization Approach; 2.3.4 Optimal Nominal Dual Control; 2.4 Dual Control in Big Data Era; 2.4.1 Economic Systems; 2.4.2 Manufacturing Processes; 2.4.3 Automobile Systems; 2.4.4 Robotics; 2.4.5 Information Retrieval; 2.5 Conclusions; References. 
505 8 |a 3 Time Inconsistency and Self-Control Optimization Problems: Progress and Challenges3.1 Introduction; 3.2 Progress; 3.2.1 Separable Problem Versus Non-separable Problem; 3.2.2 Approaches Dealing with Time Inconsistency; 3.3 Challenges; 3.3.1 Dynamic Mean-Risk Portfolio Optimization Problems; 3.3.2 Time Inconsistency Generated by Probability Weighting; 3.3.3 Data Challenge; References; 4 Quadratic Convex Reformulations for Integer and Mixed-Integer Quadratic Programs; 4.1 Introduction; 4.2 QCR for Binary Quadratic Programming; 4.2.1 QCR with No Additional Variables. 
505 8 |a 4.2.2 QCR with Additional Variables4.3 QCR for Linear Equality Constrained Binary Quadratic Programming; 4.4 Generalization of QCR to MIQCQP; 4.4.1 QCR for Binary Quadratically Constrained Quadratic Programming; 4.4.2 QCR for Mixed-Binary Quadratic Programming; 4.4.3 QCR for MIQCQP; 4.4.4 Compact QCR for MIQCQP; 4.4.5 With or Without Additional Variables; 4.5 QCR for Semi-Continuous Quadratic Programming; 4.6 Concluding Remark; References; Part II Reviews on Optimization and Control Applications; 5 Measurements of Financial Contagion: A Primary Review from the Perspective of Structural Break. 
505 8 |a 5.1 Introduction5.2 Concepts of Financial Contagion; 5.3 Contagion of Financial Markets; 5.3.1 Volatility Analysis; 5.3.2 Correlation Analysis; 5.3.3 Factor Model Based Approaches; 5.3.3.1 Contagion of Individual Shocks; 5.3.3.2 Contagion of Common Shocks and Transmission Channels; 5.4 Contagion of Interbank System; 5.4.1 Network Model of Interbank Contagion; 5.4.2 Contagion via Portfolio Overlapping; 5.5 Potential Applications of Big Data to Financial Contagion; References; 6 Asset-Liability Management in Continuous-Time: Cointegration and Exponential Utility; 6.1 Introduction. 
500 |a 6.2 Optimal ALM Formulation. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This "big data" provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems. 
504 |a Includes bibliographical references and index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Business. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Mathematical optimization. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Gao, Jianjun. 
700 1 |a Lambert, James H. 
700 1 |a Ng, Chi-Kong. 
700 1 |a Wang, Jun. 
776 0 8 |i Print version:  |a Choi, Tsan-Ming.  |t Optimization and Control for Systems in the Big-Data Era : Theory and Applications.  |d Cham : Springer International Publishing, ©2017  |z 9783319535166 
830 0 |a International series in operations research & management science. 
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