2022
DOI: 10.1007/s11071-021-07171-y
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive fixed-time control for nonlinear systems against time-varying actuator faults

Abstract: Noname manuscript No.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 27 publications
(13 citation statements)
references
References 67 publications
0
13
0
Order By: Relevance
“…Due to the fact that the total uncertainty τ d in ( 19) is not known in practice, neural networks can be utilized to approximate it. Motivated by [45], one has…”
Section: Adaptive Fixed-time Attitude Control Developmentmentioning
confidence: 99%
“…Due to the fact that the total uncertainty τ d in ( 19) is not known in practice, neural networks can be utilized to approximate it. Motivated by [45], one has…”
Section: Adaptive Fixed-time Attitude Control Developmentmentioning
confidence: 99%
“…Therefore, the fault tolerant flight control is particularly important for flight safety. Recently, the faulttolerant control has attracted the global attention of researchers [5][6][7][8][9][10]. To enhance the reliability and availability of the attitude control for tailless aircraft suffering from actuator faults, a multiple time-scale reconfigurable sliding mode control has been proposed in [11], nevertheless, only a linear model was considered.…”
Section: Introductionmentioning
confidence: 99%
“…This inevitably brings up a problem, that is, the convergence time cannot be accurately settled when the initial states of the system are unknown. To solve such problem, the fixed-time control [25][26][27][28] is proposed skillfully, by which the tracking error can converge into the compact set within a fixed time and its upper bound of convergence time is independent of system initial conditions. The authors in [29] established an adaptive fuzzy feedback fixed-time control mechanism for uncertain highorder nonlinear systems.…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [29] established an adaptive fuzzy feedback fixed-time control mechanism for uncertain highorder nonlinear systems. However, the Lyapunov function in [25][26][27][28][29] will be augmented by additional estimation error variables when uncertainties exist in lower-/high-order model, leading to the result that the state tracking errors only can converge to a bounded compact set whose size cannot be set explicitly in advance (spec-ified tracking accuracy) within fixed time. On the other hand, the above results neglect crucial aspects, such as state constraints, whose importance is explained hereafter.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation