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This paper focus is concerned with the finite-time state estimation problem for delayed reaction-diffusion genetic regulatory networks (DRDGRNs) under Dirichlet boundary conditions. The aim of this paper is to design a finite-time state observer which is used to estimate the concentrations of mRNAs and proteins via available measurement outputs. By constructing a Lyapunov-Krasovskii functional (LKF)...
In this paper, a novel Fault Detection and Identification (FDI) scheme based on a state machine residual estimator method is presented. The FDI scheme is applied to actuator and sensor faults in a vehicle chassis system. To cope with the multiple faults isolation problem, the state machine records and utilizes the previous fault information to determine the current fault state. Simulation results...
Based on a linearized 3-DOF bicycle model, this paper compares two different fault detection and isolation (FDI) methods for the FDI of a command input fault and an output sensor fault within a vehicle chassis system. The first FDI approach uses parity equations to decouple the two types of faults, while at the same time, minimizes the influence of the disturbance on the residuals. The second FDI...
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