Fault detection and isolation for unstable linear systems

Kinnaert, Michel; Hanus, Raymond; Arte, P.

doi:10.1109/9.376097

Cited by 21 publications

(12 citation statements)

References 9 publications

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“…This can be done by considering X as a stochastic variable and using marginalization. (Kinnaert et al, 1995 T r t = T w T H f = Ri. (11.8) This design assumes stationarity in the fault.…”

Section: A2 Unknown Noise Levelmentioning

confidence: 99%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

595

699

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“…This can be done by considering X as a stochastic variable and using marginalization. (Kinnaert et al, 1995 T r t = T w T H f = Ri. (11.8) This design assumes stationarity in the fault.…”

Section: A2 Unknown Noise Levelmentioning

confidence: 99%

Adaptive Filtering and Change Detection

Gustafsson¹

2001

595

699

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“…One will also encounter the similar problem when to reconfigure a control system with sensor and/or actuator failures, because there aren't any reconfiguration conditions in some control systems (i.e. one can not tolerate these failures by reconfiguring the control law) [8] .…”

Section: Redundancy Analysis For Actuatorsmentioning

confidence: 99%

Linear Quadratic State Feedback Optimal Control against Actuator Failures

Zhang

Long-hua

et al. 2007

2007 International Conference on Mechatronics and Automation

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This paper is concerned with the synthesis of a robust and optimal controller for open-loop unstable systems possessing actuator redundancy. The designed linear quadratic state feedback regulator can maintain the close-loop stability in the presence of some certain actuator failures. At the first design stage, a discriminance of actuator functional redundancy is given, which is the precondition to design the robust controller. Then a synthesis method based on a sufficient condition which guarantees the existence of the state-feedback fault-tolerant law is presented. The robust Linear Quadratic (LQ) regulator synthesis is shown to be equivalent to a standard LQ regulator design with a given dynamic performance index of the system. The effectiveness of this method has been verified on the fault control system design for the double electromagnets suspension model of maglev train.Index Terms -optimal control, linear quadratic regulator, state feedback, actuator failure, maglev train.

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“…This requirement implies the assumption that the signals arising from the plant are bounded, that is, the plant is stable or operating under a stabilizing controller. Note that the residual generator is not expected to compensate for plant instability (Kinnaert et al 1995).…”

Section: Residual Generator Designmentioning

confidence: 99%

Designing dynamic consistency relations for fault detection and isolation

Gertler¹

2000

International Journal of Control

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A family of procedures is presented for the implementation of consistency (parity) relation type residual generators. The objective is to implement exact response speci® cations arising from structural or directional isolation strategies, in minimum complexity, while the generator is causal and stable (or polynomial). To accommodate for the latter requirements, a response modi® er is explicitly included in the design. The analysis and design utilize the fault system matrix. Stabilization and polynomial behaviour are achieved by the algebraic cancellation of invariant zeros of the fault system.

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Fault detection and isolation for unstable linear systems

Cited by 21 publications

References 9 publications

Adaptive Filtering and Change Detection

Adaptive Filtering and Change Detection

Linear Quadratic State Feedback Optimal Control against Actuator Failures

Designing dynamic consistency relations for fault detection and isolation

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