A generalized super-twisting algorithm based on adaptive dual layer mechanism

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jianxiong Li , Qingqing Wang , Miao Xu , Yiming Fang
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引用次数: 0

Abstract

This article proposes a generalized super-twisting algorithm based on adaptive dual-layer mechanism (GSTA-ADL), which can be regarded as an extension of the adaptive dual-layer super-twisting algorithm (ADLSTA). The GSTA-ADL not only inherits the excellent performance of ADLSTA in achieving finite time stability against Lipschitz disturbance without overestimation, but also counteracts effectively the state-dependent disturbance by means of the generalized super-twisting algorithm (GSTA) with an adaptive gain. It can be proved that the state of the resulting closed-loop system converges into the equilibrium in finite time. Simulation results are finally provided to demonstrate the effectiveness of the proposed control method.
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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