2019
DOI: 10.1002/asjc.2139
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Sampled‐data output feedback stabilization for a class of p‐norm switched stochastic nonlinear systems

Abstract: This paper addresses the sampled-data output feedback stabilization problem for a class of p-norm switched stochastic nonlinear systems with uncontrollable and unobservable linearizations around the origin. With sampled measurements, a reduced-order observer is constructed to estimate the unmeasurable states. Based on adding a power integrator technique and the homogeneous domination approach, a sampled-data output feedback controller is designed. Subsequently, by choosing an appropriate Lyapunov-Krasoviskii f… Show more

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Cited by 5 publications
(8 citation statements)
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“…Remark Compared with the existing sampled‐data stabilization results for the deterministic nonlinear systems, such as, 5‐16,42,43 one difficult in this investigation lies in handling the high‐order Hessian terms (see (33), (34), (46), and (47)) generated by using the differential operator $$ \ell $$ in Definition 1, and another difficult lies in constructing the appropriate Lyapunov–Krasovskii functionals for the resulting closed‐loop system with input delays and stochastic disturbances under sampled‐data control (the Lyapunov function (52) for the corresponding closed‐loop system in this investigation was constructed differently from those in References 48 and 49 without considering the input delays). Furthermore, compared with the systems considered in References 5‐11 with non‐strict feedback structure, system (1) has the typical p$$ p $$‐normal structure with stronger nonlinearities, therefore, we should use the nonlinear reduced‐order observer (9) to replace the linear full‐order observers constructed in References 5‐11 to estimate the unavailable states.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark Compared with the existing sampled‐data stabilization results for the deterministic nonlinear systems, such as, 5‐16,42,43 one difficult in this investigation lies in handling the high‐order Hessian terms (see (33), (34), (46), and (47)) generated by using the differential operator $$ \ell $$ in Definition 1, and another difficult lies in constructing the appropriate Lyapunov–Krasovskii functionals for the resulting closed‐loop system with input delays and stochastic disturbances under sampled‐data control (the Lyapunov function (52) for the corresponding closed‐loop system in this investigation was constructed differently from those in References 48 and 49 without considering the input delays). Furthermore, compared with the systems considered in References 5‐11 with non‐strict feedback structure, system (1) has the typical p$$ p $$‐normal structure with stronger nonlinearities, therefore, we should use the nonlinear reduced‐order observer (9) to replace the linear full‐order observers constructed in References 5‐11 to estimate the unavailable states.…”
Section: Resultsmentioning
confidence: 99%
“…T . Now, we will handle the last term in the right-hand side of (48). By combining the system (8), the reduced-order observer (9), the coordinate transformation (10), the constructed virtual control laws and the designed sampled-data output feedback controller (24), the resulting closed-loop stochastic nonlinear system can be further represented as…”
Section: Controller Designmentioning
confidence: 99%
“…Lemma [18] Let m,n be positive constants. Given any real‐valued function ϑ(x,y)>0 , the following inequality holds : |x|m|y|nmm+nϑ(x,y)|x|m+n+nm+nϑ(x,y)mn|y|m+n. …”
Section: Preliminariesmentioning
confidence: 99%
“…Since stochastic factors are avoidable and widely existing in real world, a great deal of efforts have been devoted into the stabilization problems for stochastic nonlinear systems, see References 12‐19 and the references therein. An sufficient condition to guarantee global output feedback stabilization for stochastic nonlinear continuous‐time systems was proposed in Reference 13.…”
Section: Introductionmentioning
confidence: 99%
“…Switched systems, as a special type of hybrid systems, have attracted a great amount of attention [3][4][5]. At present, many effective methods have been presented to study the stability and stabilization of switched systems [6][7][8], such as the multiple Lyapunov functions (MLFs) method, the common Lyapunov function (CLF) method and the average dwell time (ADT) method. With the help of these methods, many significant achievements have been made.…”
Section: Introductionmentioning
confidence: 99%