2022
DOI: 10.1002/asjc.2921
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An innovative algorithm for tuning of composite nonlinear feedback control in continuous‐time systems

Abstract: The transient response improvement is the most crucial feature of the composite nonlinear feedback (CNF) controllers. This study proposes a novel CNF tuning method for systems subject to saturation. To achieve the goals, the linear part is optimally obtained via a performance index and the linear matrix inequality (LMI). Then, employing the passivity property, a heuristic way is suggested to adjust the nonlinear term. Thus, the automatic and online features would be the key novelties of this algorithm compared… Show more

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Cited by 2 publications
(2 citation statements)
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References 35 publications
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“…On the other hand, the ISM control technique is specifically designed to ensure high performance and robustness throughout the trajectory of the closed‐loop system, while also expediting the reaching phase. Previous studies 17,18 have extensively explored the development and application of ISM control in accomplishing these objectives. Moreover, in Reference 19, a continuous CNF‐ISM control scheme was implemented to optimize the operation of an offshore container crane, particularly in scenarios involving uncertainties and input nonlinearity.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the ISM control technique is specifically designed to ensure high performance and robustness throughout the trajectory of the closed‐loop system, while also expediting the reaching phase. Previous studies 17,18 have extensively explored the development and application of ISM control in accomplishing these objectives. Moreover, in Reference 19, a continuous CNF‐ISM control scheme was implemented to optimize the operation of an offshore container crane, particularly in scenarios involving uncertainties and input nonlinearity.…”
Section: Introductionmentioning
confidence: 99%
“…The perturbed systems are synchronized by passive methods (Su et al, 2022). The passivity concept has been employed in parameter tuning of the CNF control law (Vazani and Ghaffari, 2022).…”
Section: Introductionmentioning
confidence: 99%