2019
DOI: 10.1002/rnc.4744
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Composite DOBC with fuzzy fault‐tolerant control for stochastic systems with unknown nonlinear dynamics

Abstract: SummaryA class of stochastic nonlinear systems with fault and multisource disturbances is concerned. The fault is a general bounded actuator fault, and the multiple disturbances include partial‐known information disturbance and white noise. A stochastic adaptive disturbance observer is constructed to estimate the partial‐known information disturbance, based on which the partial‐known information disturbance can be compensated in the feed‐foreword channel immediately. Also, the multiplicative white noise can be… Show more

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Cited by 11 publications
(7 citation statements)
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“…A common approach for dealing with the disturbance is to estimate the disturbance by means of the disturbance observer and compensate it in controller 8‐10 . In most existing literature, it is assumed that the derivative of the disturbance is bounded, 11 equal to zero, 12 or the parameter matrix is known 13,14 . However, the model information of disturbance is usually unknown in practical systems.…”
Section: Introductionmentioning
confidence: 99%
“…A common approach for dealing with the disturbance is to estimate the disturbance by means of the disturbance observer and compensate it in controller 8‐10 . In most existing literature, it is assumed that the derivative of the disturbance is bounded, 11 equal to zero, 12 or the parameter matrix is known 13,14 . However, the model information of disturbance is usually unknown in practical systems.…”
Section: Introductionmentioning
confidence: 99%
“…Fault‐tolerant control (FTC) technology, which can appropriately react in response to faults, is recognized as an essential aspect of safety‐critical systems 1‐4 . FTC techniques have been applied for linear time‐invariant systems, 5 large‐scale systems, 6,7 nonlinear systems, 8,9 distributed parameter systems, 10 and multiagent systems, 11,12 just to mention a few.…”
Section: Introductionmentioning
confidence: 99%
“…It should be known that unmatched disturbances exist inevitably in practical systems, with which the state of the whole system will be unstable 30,31 . In References 32‐35, because of superior adaptability and approximation, RBFNN and fuzzy logic systems were used to compensate and eliminate effectively the influence of the unmatched disturbances.…”
Section: Introductionmentioning
confidence: 99%