Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach

Distributed Fault Detection and Isolation in a Class of Large-Scale Nonlinear Uncertain Systems

This paper presents a distributed fault detection and isolation (FDI) method for a class of largescale nonlinear uncertain systems. In the distributed FDI architecture, a local FDI component is designed for each subsystem by utilizing local measurements and certain communicated information from neighboring FDI components associated with subsystems that are directly interconnected. Under certain...

Decentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...

Active fault detection and isolation of discrete-time linear time-varying systems: a set-membership approach

A Neural Based Approach and Probability Density Approximation for Fault Detection and Isolation in Nonlinear Systems

A locally recurrent neural network based fault detection and isolation approach is presented. A model of the system under test is created by means of a dynamic neural network. The fault detection is performed on the basis of the statistical analysis of the residual provided by the estimated density shaping of residuals in the case of nominal value of all the parameters, made of a simply neural ...

Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning

Recently, an approach for the rapid detection of small oscillation faults based on deterministic learning theory was proposed for continuous-time systems. In this paper, a fault detection scheme is proposed for a class of nonlinear discrete-time systems via deterministic learning. By using a discrete-time extension of deterministic learning algorithm, the general fault functions (i.e., the inte...