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Titlebook: Analysis and Design for Positive Stochastic Jump Systems; Wenhai Qi,Guangdeng Zong Book 2023 The Editor(s) (if applicable) and The Author(

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发表于 2025-3-21 19:57:03 | 显示全部楼层 |阅读模式
期刊全称Analysis and Design for Positive Stochastic Jump Systems
影响因子2023Wenhai Qi,Guangdeng Zong
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发行地址Addresses positive stochastic jump systems both in theory and practice.Considers basic controller and observer design methods.Provides fault detection filter techniques
学科分类Studies in Systems, Decision and Control
图书封面Titlebook: Analysis and Design for Positive Stochastic Jump Systems;  Wenhai Qi,Guangdeng Zong Book 2023 The Editor(s) (if applicable) and The Author(
影响因子The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.
Pindex Book 2023
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,Bürokratien und Entscheidungsprozesse,esulting closed-loop system achieves positivity, finite-time boundedness, and has a prescribed . noise attenuation performance index in a novel standard linear programming. Finally, a practical example is illustrated to validate the proposed results by applying a virus mutation treatment model.
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,Öffentliche Meinung und Außenpolitik,some solvability conditions of the desired mode-dependent fault detection filter are established. Finally, an application example of positive circuit model is given to prove the validity of the theoretical results.
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Robust Finite-Time Stabilizationesulting closed-loop system achieves positivity, finite-time boundedness, and has a prescribed . noise attenuation performance index in a novel standard linear programming. Finally, a practical example is illustrated to validate the proposed results by applying a virus mutation treatment model.
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