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Performance Analysis And Synthesis For Discretetime Stochastic Systems With Networkenhanced Complexities Ding

  • SKU: BELL-9954000
Performance Analysis And Synthesis For Discretetime Stochastic Systems With Networkenhanced Complexities Ding
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Performance Analysis And Synthesis For Discretetime Stochastic Systems With Networkenhanced Complexities Ding instant download after payment.

Publisher: CRC Press/Taylor & Francis Group
File Extension: PDF
File size: 17.63 MB
Author: Ding, Derui; Wang, Zidong; Wei, Guoliang
ISBN: 9780429465901, 9780429880018, 9780429880025, 9780429880032, 9781138610019, 0429465904, 0429880014, 0429880022, 0429880030
Language: English
Year: 2019

Product desciption

Performance Analysis And Synthesis For Discretetime Stochastic Systems With Networkenhanced Complexities Ding by Ding, Derui; Wang, Zidong; Wei, Guoliang 9780429465901, 9780429880018, 9780429880025, 9780429880032, 9781138610019, 0429465904, 0429880014, 0429880022, 0429880030 instant download after payment.

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. 
Abstract: This book aims to provide 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-- 

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