2021
DOI: 10.1016/j.conengprac.2020.104683
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Fault-tolerant control by means of moving horizon virtual actuators: Concepts and experimental investigation

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Cited by 8 publications
(3 citation statements)
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“…Initially developed for LTI systems [9], virtual sensors and actuators have been applied successfully to piecewise affine [10], Hammerstein-Wiener [11], linear parameter varying (LPV) [12], [13], networked [14] and descriptor systems [15]. Practical validation of this FTC approach has been achieved using case studies such as turbofan engines [16] and pH neutralization plants [17], and a modelfree adaptive version has been recently proposed in [18]. Some works have described how virtual actuators could be applied in the multi-agent framework to achieve a faulttolerant consensus.…”
Section: Introductionmentioning
confidence: 99%
“…Initially developed for LTI systems [9], virtual sensors and actuators have been applied successfully to piecewise affine [10], Hammerstein-Wiener [11], linear parameter varying (LPV) [12], [13], networked [14] and descriptor systems [15]. Practical validation of this FTC approach has been achieved using case studies such as turbofan engines [16] and pH neutralization plants [17], and a modelfree adaptive version has been recently proposed in [18]. Some works have described how virtual actuators could be applied in the multi-agent framework to achieve a faulttolerant consensus.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of the manufacturing industry, higher requirements are put forward for the control accuracy and safe operation of industrial actuator systems [1][2][3]. The establishment of an accurate industrial system model is necessary for implementing process control and safety monitoring [4].…”
Section: Introductionmentioning
confidence: 99%
“…Note that, in the input matrix, the elements related to u 2 were reduced in 20%, which may represent in practice an actuator fault called loss of effectiveness (COSTA et al, 2021). A persistent disturbance d = −0.1 enters the plant at time step k = 30.…”
Section: Case Study 1: Double-integrator Systemmentioning
confidence: 99%