2012
DOI: 10.1016/j.jprocont.2012.02.016
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Robust fault tolerant tracking controller design for unknown inputs T–S models with unmeasurable premise variables

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Cited by 74 publications
(44 citation statements)
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“…This latter can be expressed as given by (34), where 0 is a zero matrix. Since the faults affecting the system in this approach are supposed to be constant ( ( ) ) the dynamics of the fault estimation error is given by (35).…”
Section: Fig3 Tracking Fault Tolerant Controller Design Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…This latter can be expressed as given by (34), where 0 is a zero matrix. Since the faults affecting the system in this approach are supposed to be constant ( ( ) ) the dynamics of the fault estimation error is given by (35).…”
Section: Fig3 Tracking Fault Tolerant Controller Design Methodologymentioning
confidence: 99%
“…The combination of (32), (33), (34), and (35) allows the formulation of the dynamics ( ) ( ) ( ), and ( ) with ( ) in a descriptor form [28], [29]:…”
Section: Fault Tolerant Tracking Controllermentioning
confidence: 99%
“…The following theorem shows that system (4) with the switching surface as in (5) is asymptotically stable. (6) hold for ∀i, j, k ∈ 1, ..., r, the proper sliding-mode coefficient C exists and C = (…”
Section: Design Of the Sliding Function And Stability Analysis Of Thementioning
confidence: 99%
“…Since the Parallel Distributed compensation (PDC) approach is formulated by Tanaka and Wang [3], the stability analysis and stabilized controller design for T-S fuzzy systems become achievable and have been applied in a wide range of areas such as electrical/mechanical systems [4,5], process control [6], robot [7] and time-delayed systems [8]. A lot of research outcomes on this field have been appeared in literatures.…”
Section: Introductionmentioning
confidence: 99%
“…Some recent works focus on different control aspects of the ASP, e.g. [2,6,30,34,36,38,45,50]. Their ODE models and control strategies are focused on the biological reactions and are more sophisticated than the simple model here.…”
Section: Introductionmentioning
confidence: 99%