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A novel robust generalized backstepping controlling method for a class of nonlinear systems

机译:一种用于一类非线性系统的新型鲁棒广义反向控制方法

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AbstractThis study is aimed at introducing a new robust control strategy in developed backstepping method designed for a special class of nonlinear systems, which does not require any information on the upper bound of parametric uncertainties. A robust generalized backstepping method (RGBM) is introduced by using of both generalized backstepping method and nonlinear damping of Lyapunov redesign. The RGBM is more efficient than the standard backstepping method because the standard backstepping method can only be applied to strictly feedback systems while RGBM expands this class. In addition, RGBM has could be applied to a special class of nonlinear systems with unmatched uncertainty and unknown upper bound. Numerical simulations demonstrate the feasibility and advantages of the proposed algorithm. Finally, the compressor surge control system is reviewed to show the robustness of the proposed scheme.
机译:摘要本研究旨在在开发的反向梗地方法中引入新的强大控制策略,该方法专为一类特殊类非线性系统而设计,这不需要有关参数不确定性的上限的任何信息。通过使用Lyapunov重新设计的概括的反向梗地方法和非线性阻尼来引入强大的广义反向方法(RGBM)。 RGBM比标准BackStepping方法更有效,因为标准的BackStepping方法只能应用于严格反馈系统,而RGBM展开此类。此外,RGBM可以应用于特殊类别的非线性系统,具有无与伦比的不确定性和未知的上限。数值模拟证明了所提出的算法的可行性和优点。最后,审查了压缩机浪涌控制系统以显示所提出的方案的鲁棒性。

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