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Our results generalize previous work on decentralized fault prognosis.
We study the problem of decentralized fault prognosis of partially-observed discrete event systems.
This paper presents a novel approach to address the decentralized fault tolerant model predictive control of discrete-time interconnected nonlinear systems.
In order to simultaneously estimate the unknown state and fault(s) information, a set of novel distributed adaptive estimators are designed, based on which a decentralized fault accommodation scheme is further constructed to stabilize the whole interconnected system.
In this paper, a decentralized fault detection (FD) system design approach is proposed for discrete-time large-scale interconnected systems.
Similar(50)
This enables a fully independent operation even if faults occur, that is a Decentralized Fault-Tolerant Control Scheme.
This study is concerned with the problem of decentralized adaptive fault-tolerant control for a class of large-scale non-affine and nonlinear systems with external disturbances and actuator failures including loss of effectiveness and bias.
This paper addresses the problem of decentralized on-line fault diagnosis in the Petri net framework by using integer linear programming.
Based on fuzzy logic systems (FLSs) to approximate the appropriate nonlinear functions, a novel decentralized adaptive fuzzy fault-tolerant control scheme is developed via direct adaptive control technique.
This paper proposes an adaptive approximation design for the decentralized fault-tolerant control for a class of nonlinear large-scale systems with unknown multiple time-delayed interaction faults.
This paper presents a fully decentralized approach towards autonomous sensor fault detection and isolation in wireless SHM systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com