2011
DOI: 10.1002/rnc.1681
|View full text |Cite
|
Sign up to set email alerts
|

Robust adaptive‐sliding mode tracking of state delayed nonlinear plants with actuator failures

Abstract: SUMMARYIn this paper, we develop two sliding mode-model reference adaptive control (MRAC) schemes for a class of delayed nonlinear dynamic systems under actuator failure that are robust with respect to actuator failures, to an unknown plant delay, to a nonlinear perturbation, and to an external disturbance with unknown bounds. Appropriate Lyapunov-Krasovskii-type functionals with 'virtual' adaptation gains are introduced to design the adaptation algorithms, and to prove stability. Two different controllers are… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…Due to the unknown failure patterns, times, and values, it has been an important and challenging research problem. Remarkable progress has been made in the area, such as adaptive control [1][2][3][4][5][6][7][8][9][10], sliding-mode based designs [11][12][13][14], switching based designs [15][16][17], fault-detection diagnosis based designs, fuzzy systems based designs, and neuralnetwork based designs. Since adaptive designs use an adaptive controller to accommodate the uncertainties, it has been extensively employed.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the unknown failure patterns, times, and values, it has been an important and challenging research problem. Remarkable progress has been made in the area, such as adaptive control [1][2][3][4][5][6][7][8][9][10], sliding-mode based designs [11][12][13][14], switching based designs [15][16][17], fault-detection diagnosis based designs, fuzzy systems based designs, and neuralnetwork based designs. Since adaptive designs use an adaptive controller to accommodate the uncertainties, it has been extensively employed.…”
Section: Introductionmentioning
confidence: 99%