Observer-based event-triggered impulsive synchronization control of heterogeneous complex networks with bit-rate constraints

IF 8.1 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jing Guo , Ling Huang , Peng Shi
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引用次数: 0

Abstract

This paper proposes an observer-based event-triggered impulsive control synchronization for heterogeneous complex networks under bit-rate constraints. An isolated target node and observer systems are introduced to derive synchronization and observation error dynamics. A dynamic quantization-based encoding–decoding strategy is designed for wireless communication with bit-rate constraints, and the relationship between encoded error and bit rate is established. To conserve resources, a new event-triggered mechanism based on the sampling period is proposed. This mechanism reduces unnecessary triggers while ensuring effective impulsive control through a maximum triggering interval. Identical decoder models on both sensor and controller sides eliminate additional communication for control signal transmission. An impulsive controller is designed using decoded signals at triggering moments, and a new framework for closed-loop augmented error systems is constructed. Sufficient conditions for bounded synchronization are derived using hybrid systems theory and Lyapunov stability theory. The relationship among heterogeneity, bit rate, and synchronization error is demonstrated. An optimization algorithm is proposed to minimize a weighted sum of the upper bound of the augmented errors and the maximum triggering interval. Numerical simulations verify the effectiveness of the proposed approaches.
基于观测器的具有比特率约束的异构复杂网络事件触发脉冲同步控制
提出了一种基于观测器的事件触发脉冲控制同步方法,用于比特率约束下的异构复杂网络。引入孤立的目标节点和观测器系统,导出同步和观测误差动态。针对具有比特率约束的无线通信,设计了一种基于动态量化的编解码策略,建立了编码误差与比特率之间的关系。为了节约资源,提出了一种基于采样周期的事件触发机制。该机制减少了不必要的触发,同时通过最大触发间隔确保有效的脉冲控制。传感器和控制器两端相同的解码器模型消除了控制信号传输的额外通信。利用触发时刻的解码信号设计了脉冲控制器,构造了闭环增广误差系统的新框架。利用混合系统理论和李雅普诺夫稳定性理论,导出了有界同步的充分条件。证明了异构性、比特率和同步误差之间的关系。提出了一种最小化增广误差上界和最大触发间隔加权和的优化算法。数值仿真验证了所提方法的有效性。
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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