2018
DOI: 10.1155/2018/1462594
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Multiplicative Fault Estimation‐Based Adaptive Sliding Mode Fault‐Tolerant Control Design for Nonlinear Systems

Abstract: This article deals with the sliding mode fault-tolerant control (FTC) problem for a nonlinear system described under Takagi-Sugeno (T-S) fuzzy representation. In particular, the nonlinear system is corrupted with multiplicative actuator faults, process faults, and uncertainties. We start by constructing the separated FTC design to ensure robust stability of the closed-loop nonlinear system. First, we propose to conceive an adaptive observer in order to estimate nonlinear system states, as well as robust multip… Show more

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Cited by 11 publications
(5 citation statements)
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“…Although the parameters are chosen by trial and error, there are still some rules to be referred to. e larger the adaptive gains Γ i and Λ i in (27) are, the more drastic the change of K xi is, which leads to stronger control effect. Similar phenomenon lies in (28)- (31).…”
Section: F-18 Harv Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Although the parameters are chosen by trial and error, there are still some rules to be referred to. e larger the adaptive gains Γ i and Λ i in (27) are, the more drastic the change of K xi is, which leads to stronger control effect. Similar phenomenon lies in (28)- (31).…”
Section: F-18 Harv Modelmentioning
confidence: 99%
“…On the contrary, adaptive FTC which is a kind of robust technique and a main class of active FTC has been widely used due to its exibility and diversity in design and its ability to handle unknown actuator faults without the need for FDD modules [16][17][18][19][20][21][22][23][24][25][26][27][28]. By considering that the stuck fault is bounded, a robust adaptive FTC scheme was proposed for uncertain linear systems in [16].…”
Section: Introductionmentioning
confidence: 99%
“…Several publications have appeared in recent years regarding this issue. In [10], the authors studied Takagi-Sugeno fuzzy systems with uncertainties and multiplicative and additive actuator faults and then developed an adaptive sliding mode FTC design. However, in [11], a FTC design predicated using SMO for T-S fuzzy systems is developed.…”
Section: Introductionmentioning
confidence: 99%
“…A high accuracy in determining motion parameters and controlling the aircraft is an essential requirement for modern control system design [1]- [8]. This emergence necessitates considering various uncertainty factors during the development phase of appropriate control algorithms.…”
Section: Introductionmentioning
confidence: 99%