2015
DOI: 10.1109/tase.2014.2325953
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Robust Stability and Tracking for Operator-Based Nonlinear Uncertain Systems

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Cited by 46 publications
(10 citation statements)
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“…Moreover, the robust stability and stabilization for the uncertain nonlinear feedback systems (UNFSs) are discussed 12,13 wherein the sufficient condition is given in the form of null set, which cannot be applied into the general UNFS. Therefore, based on the definition of Lipschitz norm, a sufficient condition (“robust condition”) in the form of inequality is proposed by which the robust control for the general UNFS can be extended 14‐17 …”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the robust stability and stabilization for the uncertain nonlinear feedback systems (UNFSs) are discussed 12,13 wherein the sufficient condition is given in the form of null set, which cannot be applied into the general UNFS. Therefore, based on the definition of Lipschitz norm, a sufficient condition (“robust condition”) in the form of inequality is proposed by which the robust control for the general UNFS can be extended 14‐17 …”
Section: Introductionmentioning
confidence: 99%
“…This is an open and challenging problem. An operator-based robust nonlinear control scheme is one way to solve such problems because of the usefulness of operator theory in the stability and robust stability of nonlinear systems (Bi et al, 2015; Chen and Han, 1998; Deng et al, 2011; Wang and Deng, 2012). The robust right coprime factorization approach is proposed to tackle the uncertain term in nonlinear systems, such as a miniature pneumatic curling rubber actuator and a Peltier actuated thermal process (Deng and Kawashima, 2016; Wen and Deng, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In most cases, the existing internal perturbation and external disturbance have a critical effect on the stability of the overall system. With regards to these aspects, many results have been achieved (Bi et al, 2011, 2015; Bu and Deng, 2011; Chen et al, 2000; Deng et al, 2011; Katsurayama et al, 2016; Li et al, 1995). In Chen and Han (1998), the authors investigated robust right coprime factorization to consider nonlinear systems with perturbation, which provided a fairly general operator-theoretic setting for system analysis, control and design.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the robust sufficient condition of Deng et al (2006), in Bu and Deng (2011) the authors provided an operator-based isomorphism method to obtain factorization of nonlinear systems quantitatively. In Bi et al (2015), the authors proposed an internal model control to analyse the effects of uncertainties of nonlinear systems. The robust right coprime factorization method has also been developed for real applications, such as the robust controller design of uncertain discrete time-delay systems with input saturation and disturbance in Xu et al (2012), employment of low-order modes to design the control scheme using the operator-based approach in Katsurayama et al (2016), and so on.…”
Section: Introductionmentioning
confidence: 99%