access icon free Closed-loop design of fault detection for networked non-linear systems with mixed delays and packet losses

This study is concerned with the problem of fault detection (FD) for networked control systems with discrete and infinite distributed delays subject to random packet losses and non-linear perturbation. Both sensor-to-controller and controller-to-actuator packet losses are modelled as two different mutually independent Bernoulli distributed white sequences with known conditional probability distributions. By utilising an observer-based fault detection filter (FDF) as a residual generator, the FD for networked non-linear systems with mixed delays and packet losses is formulated as an H model-matching problem. Attention is focused on designing the FDF in the closed-loop system setup such that the estimation error between the residuals and filtered faults is made as small as possible and at the same time the closed-loop networked non-linear system is exponentially stable in the mean-square sense. To show the superiority and effectiveness of this work, two numerical examples are presented.

Inspec keywords: discrete systems; delays; control system synthesis; networked control systems; perturbation techniques; statistical distributions; fault diagnosis; asymptotic stability; closed loop systems; nonlinear control systems

Other keywords: closed-loop design; H∞ model-matching problem; H∞ model-matching problem; nonlinear perturbation; conditional probability distributions; infinite distributed delays; controller-to-actuator packet loss; observer-based fault detection filter; mean-square sense; networked nonlinear systems; discrete delays; networked control systems; exponential stability; Bernoulli distributed white sequences; FDF; residual generator; random packet loss; sensor-to-controller packet loss; mixed delays

Subjects: Distributed parameter control systems; Control system analysis and synthesis methods; Stability in control theory; Nonlinear control systems; Discrete control systems; Other topics in statistics

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