2009
DOI: 10.1080/00207170902866138
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Design of decentralised sliding surfaces for a class of large-scale systems with mismatched perturbations

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Cited by 9 publications
(4 citation statements)
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“…Remark 1. The mathematical model of the system (Equation 1) is extended from the published studies [15,19,40].…”
Section: A1mentioning
confidence: 99%
“…Remark 1. The mathematical model of the system (Equation 1) is extended from the published studies [15,19,40].…”
Section: A1mentioning
confidence: 99%
“…However, asymptotic stability is generally difficult to achieve for systems with mismatched perturbations when applying the traditional SMC technique, since the mismatched perturbations cannot be effectively suppressed unless specific sliding surface is designed. Thus, some researchers designed novel sliding surface functions for mismatched perturbed systems instead of using traditional ones so that not only asymptotic stability is achieved but also the (prior) knowledge of the upper bound of the perturbations is not required (Chang and Cheng 2007a;Wen and Cheng 2008;Cheng, Wen, and Lee 2009). However, it is found that designing a specific and novel sliding surface function is generally not an easy job.…”
Section: Introductionmentioning
confidence: 95%
“…Recently, Chang and Cheng (2007a, b), Wen and Cheng (2008), Cheng et al (2009) designed adaptive sliding mode controllers for solving regulation or tracking problems without requiring the upper bounds of matched or mismatched perturbations. However, all these control schemes can only handle systems with n 2m (n is the dimension of the system, m is the number of inputs).…”
Section: Introductionmentioning
confidence: 99%
“…SMC is capable of providing robustness and invariance to matched external disturbances and model uncertainties [1], [2]. If a sliding mode controller is properly designed, asymptotic stability for systems with mismatched perturbations still can be obtained [3]- [6]. However, it is observed that designing novel sliding surface functions to achieve asymptotic stability for mismatched perturbed systems are in general not easy and quite complicated.…”
Section: Introductionmentioning
confidence: 99%