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{ "item_title" : "Networked Nonlinear Stochastic Time-Varying Systems", "item_author" : [" Hongli Dong", "Zidong Wang", "Nan Hou "], "item_description" : "Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H∞ state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths.Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivationUnifies existing and emerging concepts concerning control/filtering/estimation and distributed filteringProvides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H∞ filtering, non-fragile distributed estimation, recursive filtering, set-membership filteringDemonstrates illustrative examples in each chapter to verify the correctness of the proposed resultsThis book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/203/880/1032038802_b.jpg", "price_data" : { "retail_price" : "68.99", "online_price" : "68.99", "our_price" : "68.99", "club_price" : "68.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Networked Nonlinear Stochastic Time-Varying Systems|Hongli Dong

Networked Nonlinear Stochastic Time-Varying Systems : Analysis and Synthesis

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Overview

Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H∞ state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths.

  • Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation
  • Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering
  • Provides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H∞ filtering, non-fragile distributed estimation, recursive filtering, set-membership filtering
  • Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results

This book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.

This item is Non-Returnable

Details

  • ISBN-13: 9781032038803
  • ISBN-10: 1032038802
  • Publisher: CRC Press
  • Publish Date: October 2024
  • Dimensions: 9.21 x 6.14 x 0.58 inches
  • Shipping Weight: 0.87 pounds
  • Page Count: 256

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