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Self-Tuning Control Based on Generalized Minimum Variance Criterion Under the Sliding Mode Concept for Linear and a Class of Nonlinear Systems

机译:线性和一类非线性系统的滑模概念下基于广义最小方差准则的自校正控制

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The stability of the implicit self-tuning algorithm based on the generalized minimum variance criterion under the sliding mode concept is a research line that has been studied for several years, mostly focusing on theorems definition and their demonstrations, to assure overall stability of the close-loop system and reference tracking by the output signal. The studies have been carrying out for linear systems and some class of nonlinear systems, with parametric uncertainties. In this paper a generalized algorithm is presented, named Self-Tuning Control based on Generalized Minimum Variance Criterion under the Sliding Mode Concept (STC-GMVC-SMC) for Linear and a class of Nonlinear Systems. The algorithm summarizes the research work done, for more than one decade, for linear and some type of nonlinear systems and the results has been compiled in a ten steps easy to follow algorithm.
机译:滑模概念下基于广义最小方差准则的隐式自整定算法的稳定性是一条研究路线,已经研究了数年,主要侧重于定理的定义及其论证,以确保闭环的整体稳定性。回路系统并通过输出信号进行参考跟踪。已经对具有参数不确定性的线性系统和某些类型的非线性系统进行了研究。本文提出了一种基于广义最小方差准则的滑模概念(STC-GMVC-SMC)下的线性和一类非线性系统的广义自调整控制算法。该算法总结了十多年来对线性和某些类型的非线性系统所做的研究工作,并且将结果分为十个易于遵循的步骤进行编译。

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