2020
DOI: 10.1109/tie.2019.2934066
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Full-Order Observer for a Class of Nonlinear Systems With Unmatched Uncertainties: Joint Attractive Ellipsoid and Sliding Mode Concepts

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Cited by 14 publications
(9 citation statements)
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“…Inequality (15) shows that the sliding function s i converges to 0 in finite time. Furthermore, by using ( 10) and ( 12), we can conclude that the estimated errors ξi (t) = ξi (t) − 𝜉 i (t) = 𝛿 i − 𝜉 i (t) of disturbance will converge to 0 in finite time.…”
Section: Design Of Disturbance Observer Via Sliding-modementioning
confidence: 99%
See 1 more Smart Citation
“…Inequality (15) shows that the sliding function s i converges to 0 in finite time. Furthermore, by using ( 10) and ( 12), we can conclude that the estimated errors ξi (t) = ξi (t) − 𝜉 i (t) = 𝛿 i − 𝜉 i (t) of disturbance will converge to 0 in finite time.…”
Section: Design Of Disturbance Observer Via Sliding-modementioning
confidence: 99%
“…Although many excellent research results have been reported, there are still many unsolved problems, such as disturbance and unknown gain function and so forth. In Reference 15, for the affine nonlinear systems suffer from disturbances and uncertainties, a full‐order observer which joins the ultimate uniform bounded stability and sliding‐mode is presented. In Reference 16, for fractional‐order systems with asymmetric time‐varying Pseudo‐state constraints and input nonlinearities, a NN controller is designed.…”
Section: Introductionmentioning
confidence: 99%
“…The conventional sliding-mode control can only compensate for the matched uncertainties existing in the same channel with the control input [23]. However, the uncertainties may not satisfy the so-called matched condition, which becomes a challenge for sliding-modecontroller design [24]. To compensate for the unmatched uncertainties, many improved SMC methods have been proposed, such as integral-sliding-mode control (ISMC) [25], disturbance-observer-based sliding-mode control (DOBSMC) [26] and backstepping [27].…”
Section: Introductionmentioning
confidence: 99%
“…Jamin et al [21] applied a fuzzy logic controller to a two-wheeled wheelchair with a movable payload, where the control parameters were optimized by the spiral dynamic algorithm. S'anchez et al [22] developed a full-order observer without using the unavailable state variables. They applied the algorithm to an inverted pendulum system and achieved a steady-state error of less than 1 • .…”
Section: Introductionmentioning
confidence: 99%