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The Cluster Algorithm for Time-Varying Nonlinear System with a Model Uncertainty

机译:不确定模型的时变非线性系统的聚类算法

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In this paper, we discuss the problem of the input-output linearization method for the time-varying nonlinear systems with model uncertainties. The uncertainty of model is presented in all systems, the primary concern in the system analysis. In particular, in this study, while proving the input-output linearization theorem for time-varying nonlinear systems with uncertainty, the uncertainty bounded range of models is derived. It can be seen that the expansion of the input-output linearization for the time-invariant nonlinear system with uncertainty. The Algorithm is simulated and tested by MATLAB. The results show that this algorithm which is more effective routing protocol prolongs the network lifetime.
机译:在本文中,我们讨论了具有模型不确定性的时变非线性系统的输入输出线性化方法的问题。在所有系统中都存在模型的不确定性,这是系统分析中的主要问题。特别地,在这项研究中,在证明具有不确定性的时变非线性系统的输入输出线性化定理的同时,推导了模型的不确定性有界范围。可以看出,时变非线性系统具有不确定性,其输入输出线性化的扩展。该算法是通过MATLAB仿真和测试的。结果表明,该算法是更有效的路由协议,可以延长网络寿命。

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