2021
DOI: 10.3390/math9141664
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Stabilization and the Design of Switching Laws of a Class of Switched Singularly Perturbed Systems via the Composite Control

Abstract: This paper proves that the controller design for switched singularly perturbed systems can be synthesized from the controllers of individual slow–fast subsystems. Under the switching rules of individual slow–fast subsystems, switched singularly perturbed systems can be stabilized under a small value of ε. The switching rule is designed on the basis of state transformation of the individual subsystems.

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Cited by 3 publications
(4 citation statements)
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“…( 2) ] . First, according to the Lyapunov Equation (4), we can obtain ] for i=1, 2, and the four intersections, ̄1 = 0.0927, ̄2 = 0.1129, ̂1 = 0.2361 and ̂2 = 0.1642 can be calculated from (7). Therefore, we conclude that system (17) can be stabilized by the following feedback control law for all ε(0, ):…”
Section: Examplementioning
confidence: 98%
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“…( 2) ] . First, according to the Lyapunov Equation (4), we can obtain ] for i=1, 2, and the four intersections, ̄1 = 0.0927, ̄2 = 0.1129, ̂1 = 0.2361 and ̂2 = 0.1642 can be calculated from (7). Therefore, we conclude that system (17) can be stabilized by the following feedback control law for all ε(0, ):…”
Section: Examplementioning
confidence: 98%
“…If k 1 and k 2 are selected inside the region of the convex polygon as shown in Figure 2, then the observer-based feedback (10) stabilizes the system (1) in the entire state space for all ε∈(0,∞), where the six intersections of convex polygon with k 1 -axis and with k 2 -axis are described as Equation ( 7), and (10), where is designed such that is stable. If 1 2 are selected inside the region of the convex polygon as shown in Figure 2, then the observer-based feedback (10) stabilizes the system (1) in the entire state space for all ε(0, ), where the six intersections of convex polygon with k 1axis and with k 2 -axis are described as Equation (7), and Proof. The proof can be also divided into two parts:…”
Section: Remarkmentioning
confidence: 99%
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“…The stability properties of singular perturbed systems and the consequences of delayed dynamics have been the subject of extensive investigation in numerous studies [ [51] , [52] , [53] , [54] , [55] ]. Traditional methodologies employed in these studies have commonly assumed exponential stability in the fast subsystem, yielding valuable insights across diverse contexts [ [56] , [57] , [58] ]. Notably, the emergence of LMI methods has revolutionized the analysis of singularly perturbed systems, offering efficient techniques for stability analysis and providing a deeper understanding of their dynamic behavior [ [59] , [60] , [61] ].…”
Section: Introductionmentioning
confidence: 99%