2013
DOI: 10.1016/j.isatra.2012.09.009
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Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems

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Cited by 255 publications
(175 citation statements)
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“…In most of the considered research, the boundaries of the perturbations are directly employed in the design of the TSMC law [22,23]. To estimate the disturbances, various design procedures based on the disturbance observer have been planned in the recent years [24].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…In most of the considered research, the boundaries of the perturbations are directly employed in the design of the TSMC law [22,23]. To estimate the disturbances, various design procedures based on the disturbance observer have been planned in the recent years [24].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In [33], the robust synchronization problem of disturbed chaotic systems is investigated, where, using an LMI-based disturbance observer, the boundedness conditions of disturbance errors are satis ed. In [22,34], the disturbance observers are applied to estimate the disturbances and some robust control approaches are considered using the outputs of the disturbance observers. To satisfy the approach of the approximation errors to the origin in the nite time, TSMC disturbance observer has been established in [20,35,36].…”
Section: Literature Reviewmentioning
confidence: 99%
“…By defining the i th element of tracking error as e i1 = y i −y di , a nonlinear terminal sliding surface is set to [20] …”
Section: Tsmcmentioning
confidence: 99%
“…In [32], a high-speed sliding mode observer (SMO) was proposed to estimate the rotor position and the angular velocity of the permanentmagnet synchronous motor (PMSM). In [35], a terminal sliding mode disturbance observer for SISO system has been studied to guarantee that the approximation error of disturbance observer converges to zero in finite time. And based on the geometric homogeneity, a novel distributed finitetime observer was presented for the followers to estimate the leader's velocity in [36].…”
Section: Introductionmentioning
confidence: 99%
“…Some adaptive type-1 or type-2 fuzzy/neural schemes have also been proposed to control the nonlinear systems with actuator saturation in [42][43][44]. In [35], the input saturation was regarded as external disturbances, and a disturbanceobserver-based terminal sliding mode control was developed for SISO (single-input single-output) system. Most of the mentioned researches are based on the assumption that the input saturation is known.…”
Section: Introductionmentioning
confidence: 99%