Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities (PDF)
The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal...
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The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact.
Key Features
- Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities
- Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems
- Captures the essence of performance analysis and synthesis for stochastic control and filtering
- Concepts and performance indexes proposed reflect the requirements of engineering practice
- Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability
Derui Ding received both the B.Sc. degree in Industry Engineering in 2004 and the M.Sc. degree in Detection Technology and Automation Equipment in 2007 from Anhui Polytechnic University, Wuhu, China, and the Ph.D. degree in Control Theory and Control Engineering in 2014 from Donghua University, Shanghai, China. Dr. Ding is currently an associate professor with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. He is also a senior research fellow with the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australian. From July 2007 to December 2014, he was a teaching assistant and then a lecturer in the Department of Mathematics, Anhui Polytechnic University, Wuhu, China. In January 2015, he, as an associate professor, joined University of Shanghai for Science and Technology, China. From June 2012 to September 2012, he was a research assistant in the Department of Mechanical Engineering, the University of Hong Kong, Hong Kong. From March 2013 to March 2014, he was a visiting scholar in the Department of Information Systems and Computing, Brunel University London, UK. From June 2015 to August 2015, he was a research assistant in the Department of Mathematics, City University of Hong Kong, Hong Kong. His research interests include nonlinear stochastic control and filtering, consensus control of multi-agent systems, as well as distributed filtering of sensor networks. He has published around 50 papers in refereed international journals. He is serving as an Associate Editor for Neurocomputing and has served as a Gest Editor for International Journal of General Systems and Discrete Dynamics in Nature and Society.
Zidong Wang is currently Professor of Dynamical Systems and Computing at Brunel University London in the United Kingdom. From January 1997 to December 1998, he was an Alexander von Humboldt research fellow with the Control Engineering
Guoliang Wei received the B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 1997 and the M.Sc. degree in applied mathematics and the Ph.D. degree in control engineering, both from Donghua University, Shanghai, China, in 2005 and 2008, respectively. He is currently a Professor with the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. From March 2010 to May 2011, he was an Alexander von Humboldt Research Fellow in the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Germany. From March 2009 to February 2010, he was a postdoctoral research fellow in the Department of Information Systems and Computing, Brunel University, Uxbridge, U.K., sponsored by the Leverhulme Trust of the U.K. From June to August 2007, he was a Research Assistant at the University of Hong Kong. From March to May 2008, he was a Research Assistant at the City University of Hong Kong. His research interests include nonlinear systems, stochastic systems, and bioinformatics. He has published more than 70 papers in refereed international journals. He is a very active reviewer for many international journals.
- Autoren: Derui Ding , Zidong Wang , Guoliang Wei
- 2018, 1. Auflage, 267 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 0429880030
- ISBN-13: 9780429880032
- Erscheinungsdatum: 11.10.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 16 MB
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