On nonsingular terminal sliding-mode control of nonlinear systems
By Yong Feng, Xinghuo Yu, Fengling Han. at - Automatisierungstechnik, 2013
610 citations recorded by the source corpus.
This paper proposes a method to overcome the singularity problem of terminal sliding-mode control systems. The system behaviors in both the reaching phase and the ideal sliding-mode are analyzed. A global nonsingular terminal sliding-mode control strategy for nonlinear systems is developed and it is shown that the proposed control strategy can eliminate the singularity, while guaranteeing the finite-time reachability of the systems to the terminal sliding-mode surface and the finite-time convergence of the systems towards the origin along the terminal sliding-mode surface.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/5597d8f9d5c9b7bf99098f626d7f3822034a297b
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In Control and Systems Engineering
Citations in the corpus
- Terminal Sliding Mode Control – An Overview (2021, methodology): “The system in the ideal sliding mode can be described by [27] x1(t ) = {(|x1(tr )|(1−λ) − β (1 − λ) t) 1 1−λ sgn (x1(tr )) t < ts 0 t ≥ ts x2(t ) = −βxλ 1 (t ) = −β |x1(t )|λ sgn (x1(t )) (19)”
- Fast Fixed-Time Nonsingular Terminal Sliding Mode Control and Its Application to Chaos Suppression in Power System (2017, background): “Therefore, as pointed out in [21], the existence of singularity region does not influence the results of the stability analysis.”
- Nonsingular fixed-time consensus tracking for second-order multi-agent networks (2015, methodology): “To circumvent the singularity problem (Feng et al., 2013), a new sliding surface is proposed:”
- Event-triggered sliding mode control of stochastic systems via output feedback (2017, neutral): “…2010; Liu et al., 2017), stochastic systems (Shi, Xia, Liu, & Rees, 2006), time-delay systems (Basin, Rodriguez-Gonzalez, Fridman, & Acosta, 2005), switched systems (Wu, Zheng, & Gao, 2013), jumping systems (Shi et al., 2006; Wu, Su, & Shi, 2012), and singular systems (Feng, Yu, & Han, 2013).”