2018
DOI: 10.1002/rnc.4078
|View full text |Cite
|
Sign up to set email alerts
|

Finite‐time stabilization for a class of switched stochastic nonlinear systems with dead‐zone input nonlinearities

Abstract: Summary This paper studies the finite‐time stabilizing control problem for a class of switched stochastic nonlinear systems (SSNSs) in p‐normal form. The switched systems under consideration possess the powers of different positive rational numbers and the dead‐zone input nonlinearities. Based on the improving finite‐time stability theorem for SSNSs established in this paper, a general framework to address common state feedback for SSNSs is developed by adopting the common Lyapunov function–based adding a powe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
43
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 43 publications
(45 citation statements)
references
References 63 publications
(107 reference statements)
2
43
0
Order By: Relevance
“…On the other hand, the controlled system is usually affected by various types of uncertain factors, and one can consult References for the manipulation of unknown parameters and external disturbances. It is worth noticing that expensive sensors, physical difficulties, and effects of noises could make some state variables unapplicable, so the designer has to reconstruct them appropriately, where the systematic methodology can be found in the books .…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the controlled system is usually affected by various types of uncertain factors, and one can consult References for the manipulation of unknown parameters and external disturbances. It is worth noticing that expensive sensors, physical difficulties, and effects of noises could make some state variables unapplicable, so the designer has to reconstruct them appropriately, where the systematic methodology can be found in the books .…”
Section: Introductionmentioning
confidence: 99%
“…Remark In the case of ϕidfalse(·false)=0false(i=0,1,0.1em,nfalse), the uncertain nonholonomic system degenerates into a driftless chained‐form nonholonomic system proposed in the work of Murray and Sastry . In literature, the extensions such as nonlinear drifts, the time‐delayed case, stochastic noise, and consensus control, are discussed for such class of uncertain nonholonomic systems. Throughout this paper, we make the following assumption regarding system .…”
Section: Problem Formulationmentioning
confidence: 99%
“…On the base of the Lyapunov stability theory in References and , the finite‐time stability issues of nonlinear systems were discussed by many authors . Among them Lv et al and Liu et al designed the control programs for a class of nonlinear systems with hysteretic characteristics Wang et al, Chen et al and Yang et al discussed the finite‐time stability of time‐varying delay systems by adopting more appropriate Lyapunov‐Krasovskii functional Wang et al and Liu et al proposed the finite‐time control schemes for the nonlinear system with actuator failures Liu et al, Gao et al and Li et al investigated several finite‐time tracking control schemes for a class of nonlinear systems with dead‐zone, Wang et al and Zhang et al proposed the adaptive finite‐time control design schemes for a kind of nonlinear quantized systems. It should be noted that the above work does not consider the case where the system output is constrained.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, in comparison with the current literatures on constrained systems, a series of finite‐time control schemes were constructed in References . The control strategies in References cannot ensure that the tracking error always stays in the prescribed proper range. To prevent the violation of output constraints, BLF is used in this article to ensure that the system output is constrained within a specified area and the tracking error remains in a prescribed appropriate bound.…”
Section: Introductionmentioning
confidence: 99%