2016
DOI: 10.1080/03772063.2016.1196123
|View full text |Cite
|
Sign up to set email alerts
|

Robust Actuator and Sensor Faults Reconstruction Based on New Sliding Mode Observer for a Class of Output Time-Delay Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…The fault studied in this paper occurs in actuators. According to a previous study [19], assumption 2.3 is reasonable and is equivalent to considering a matrix G * ∈ R m×n , implying that BG * + G = 0 and E 2 G * + E 3 = 0 hold. Lemma 2.1: [20]: Y is assumed to be a symmetric matrix, where D and E are matrices of appropriate dimensions.…”
Section: Assumption 23: Rank(b G) = Rank(b) and Rankmentioning
confidence: 99%
See 1 more Smart Citation
“…The fault studied in this paper occurs in actuators. According to a previous study [19], assumption 2.3 is reasonable and is equivalent to considering a matrix G * ∈ R m×n , implying that BG * + G = 0 and E 2 G * + E 3 = 0 hold. Lemma 2.1: [20]: Y is assumed to be a symmetric matrix, where D and E are matrices of appropriate dimensions.…”
Section: Assumption 23: Rank(b G) = Rank(b) and Rankmentioning
confidence: 99%
“…Therefore, according to [21], the state and fault estimation errors are robust and stable. From ( 18), (19), and considering 0 the initial state, extension system (7) satisfies the…”
Section: Proofmentioning
confidence: 99%
“…A sliding mode observer (SMO) is commonly used as a robust control solution for mode errors and measurement disturbances. For a class of uncertain time-delay systems, a robust SMO, which guarantees estimation error stability through the Lyapunov-Krasovskii function and the Linear Matrix Inequality (LMI) optimization, has been proposed [5,6]. An SMO with two discontinuous terms was designed to compensate for fault behavior and disturbance variation from the system state estimation.…”
Section: Introductionmentioning
confidence: 99%