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Intelligent digital redesign of fuzzy controller for non-linear systems with packet losses

机译:丢包非线性系统模糊控制器的智能数字化重新设计

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摘要

In this study, a novel intelligent digital redesign (IDR) technique is proposed for the sampled-data fuzzy controller of the non-linear system with packet losses. For the IDR development, the non-linear system is represented in the Takagi–Sugeno fuzzy model and the packet loss is assumed to be an independent, identically distributed Bernoulli random process. After introducing the traditional IDR technique, the closed-loop system with state-matching error and the state-matching error cost function are achieved for the development of the novel IDR technique. In the discrete-time Lyapunov sense, the exponential mean-square stability is guaranteed while minimising the state-matching error, and its sufficient condition is derived into linear matrix inequalities. Two examples are provided to verify the effectiveness of the proposed technique by comparison.
机译:在这项研究中,提出了一种新颖的智能数字重新设计(IDR)技术,用于具有丢包情况的非线性系统的采样数据模糊控制器。对于IDR的发展,在Takagi-Sugeno模糊模型中表示了非线性系统,并假设数据包丢失是一个独立的,均匀分布的Bernoulli随机过程。在介绍了传统的IDR技术之后,开发了具有状态匹配误差和状态匹配误差成本函数的闭环系统。在离散时间李雅普诺夫意义上,在保证状态匹配误差最小的同时,保证了指数均方稳定性,并将其充分条件转化为线性矩阵不等式。通过比较,提供了两个示例来验证所提出技术的有效性。

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