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

By: (Author) Derui Ding , (Author) Guoliang Wei , (Author) Zidong Wang

Extended Catalogue

Ksh 33,300.00

Format: Hardback or Cased Book

ISBN-10: 1138610011

ISBN-13: 9781138610019

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 8th, 2018

Print length: 268 Pages

Weight: 564 grams

Dimensions (height x width x thickness): 16.20 x 24.20 x 2.30 cms

Product Classification: Stochastics
Automatic control engineering

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  • Description

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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.

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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