2018
DOI: 10.1109/tie.2018.2815950
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Robust Antiwindup for One-Sided Lipschitz Systems Subject to Input Saturation and Applications

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Cited by 43 publications
(19 citation statements)
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“…The basic idea of auxiliary AW system was presented in [22,23]. This paper is a good improvement over those papers: to improve the speed of AW, the FT convergent auxiliary AW system is designed for the th j motor as follows:…”
Section: Design Of the Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…The basic idea of auxiliary AW system was presented in [22,23]. This paper is a good improvement over those papers: to improve the speed of AW, the FT convergent auxiliary AW system is designed for the th j motor as follows:…”
Section: Design Of the Controllermentioning
confidence: 99%
“…The mathematical correlation function is used to deal with saturation [21]. A static or dynamic AW compensator is designed to weaken the saturation effect [22,23]. The saturation constraint is transformed into the optimization problem with linear matrix inequality constraint [24].…”
Section: Introductionmentioning
confidence: 99%
“…20 It is undeniable that the input saturation phenomenons caused by limited power seriously affect tracking performances and convergence characteristics of controllers. [21][22][23] Fortunately, the input saturation problem has been solved with the help of different kinds of mathematical theories or models, such as mean-value theorem 24 and nonlinear input saturation model. 25 Therefore, it is necessary to consider input saturation while designing a controller with higher tracking performance for FJRs.…”
Section: Introductionmentioning
confidence: 99%
“…A combination of a Nussbaum function, smooth function, or mean value theorem is a common method to address input saturation [16][17][18], and by using the linear matrix inequality (LMI) to solve the parameters of the AW compensator, the estimation of the domain of attraction can be improved [19,20]. In [21], the AW compensator synthesis scheme was derived by employing the quadratic Lyapunov function, notion of quadratic inner-boundedness, one-sided Lipschitz condition, sector condition, and L 2 gain minimization. In [22], an adaptive neural network controller with an integrated auxiliary system is designed to guarantee the tracking performance and tackle the effect of actuator saturation.…”
Section: Introductionmentioning
confidence: 99%