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H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

机译:具有时变通信延迟的模糊随机网络控制系统的H-Infinity稳定性分析和输出反馈控制和多径分组丢弃

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摘要

The H-infinity stability analysis and delay-dependent Takagi-Sugeno (T-S) fuzzy dynamic output feedback control are proposed for the T-S fuzzy discrete networked control systems with time-varying communication delay and multipath packet dropouts. T-S fuzzy model is employed to approximate the discrete networked control system with time-varying state delay and external disturbance. Stochastic system theory and Bernoulli probability distribution are employed to describe the time-varying communication delay and multipath packet dropouts. Delay-dependent T-S fuzzy dynamic output feedback controller is designed. The delay-dependent T-S fuzzy dynamic output feedback controller is employed to relax the design conditions and enhance the design flexibility. The delay-dependent Lyapunov-Krasovskii functional, stochastic system theory and Bernoulli probability distribution are introduced to guarantee the stochastic mean-square stability and prescribed H-infinity performance. Some slack matrices are introduced to reduce the computation complexity. Finally, simulation examples are presented to show the effectiveness and advantages of the proposed methods.
机译:提出了H-Infinity稳定性分析和延迟依赖性Takagi-Sugeno(T-S)模糊动态输出反馈控制,其具有时变通信延迟和多径分组丢失的T-S模糊离散网络控制系统。采用T-S模糊模型与时变状态延迟和外部干扰的离散网络控制系统近似。随机系统理论和伯努利概率分布用于描述时变通信延迟和多径分组丢失。设计了延迟相关的T-S模糊动态输出反馈控制器。延迟相关的T-S模糊动态输出反馈控制器可用于放宽设计条件并增强设计灵活性。引入了延迟依赖的Lyapunov-Krasovskii功能,随机系统理论和伯努利概率分布,以保证随机均方稳定性和规定的H-Infinity性能。引入了一些松弛矩阵以降低计算复杂性。最后,提出了模拟示例以显示所提出的方法的有效性和优点。

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