1996
DOI: 10.1002/(sici)1099-1239(199608)6:7<585::aid-rnc167>3.0.co;2-2
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Time-scale separation and robust controller design for uncertain nonlinear singularly perturbed systems under perfect state measurements
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1997
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Cited by 28 publications
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“…Hence, we now derive the slow and fast subsystems based on time-scale decomposition principle. Referring to [8], to derive the slow subsystem, let 𝜀 = 0 in Equation (1a) and solve for 𝑥 2 (to be denoted as 𝑥 2𝑠 ) under the nonsingular property of 𝑓 22…”
Section: Assumption 2 𝑓
mentioning
confidence: 99%
“…Hence, we now derive the slow and fast subsystems based on time-scale decomposition principle. Referring to [8], to derive the slow subsystem, let 𝜀 = 0 in Equation (1a) and solve for 𝑥 2 (to be denoted as 𝑥 2𝑠 ) under the nonsingular property of 𝑓 22…”
Section: Assumption 2 𝑓
mentioning
confidence: 99%
“…Hence, we now derive the slow and fast subsystems based on time‐scale decomposition principle. Referring to [8], to derive the slow subsystem, let in Equation () and solve for (to be denoted as ) under the nonsingular property of where the subscript “s” denotes the slow component of the variable. Substituting the Equation () into () yields the slow subsystem where …”
Section: Time‐scale Decomposition and Problem Standardization
mentioning
confidence: 99%
“…H ∞ control problem for SPSs were studied by making use of a differential game theoretic approach in [193,40,161,162]. A class of SPSs being nonlinear only on the slow variables was examined in [163,190] and H ∞ controller design methods were proposed. In [225,155,192], H ∞ control of nonstandard SPSs was considered and some efficient design methods were proposed.…”
Section: Singularly Perturbed Systems
mentioning
confidence: 99%
“…Besides the approaches based on T-S fuzzy model [137]- [233], there have been various design methods for nonlinear SPSs in particular forms. In [163]- [54], H ∞ control for nonlinear SPSs was investigated. However, these methods can be only applied to standard nonlinear SPSs since they are based on decomposing the original system into two reduced-order subsystems in different time scales.…”
Section: Theorem 73
mentioning
confidence: 99%
