Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities
Author :
Publisher : CRC Press
Total Pages : 268
Release :
ISBN-10 : 9780429880032
ISBN-13 : 0429880030
Rating : 4/5 (32 Downloads)

Book Synopsis Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities by : Derui Ding

Download or read book Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities written by Derui Ding and published by CRC Press. This book was released on 2018-10-11 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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