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This paper proposes a second-order sliding mode observer for fault diagnosis (FD) of a class of uncertain dynamical systems. In the proposed FD scheme, a modified super-twisting second-order sliding mode algorithm is firstly established to observe the system state in the presence of uncertainties and disturbances, and then the observer input is designed by using a PID-type iterative learning algorithm...
The invasive plant species have large impact on the distribution of native plants and how to control these invasive plant species is a world-wide problem. The mechanism of the spread of the invasive plant species is of fundamental importance to solve this problem. The Logistic spread of these invasive plant species is discussed and factual experimental data is given to examine the mathematical model.
This paper presents a robust fault detection and diagnosis (FDD) scheme for abrupt and incipient faults in a class of nonlinear dynamic systems. A nonlinear observer which synthesizes second order sliding mode techniques and wavelet networks is proposed for online monitoring. The second order sliding mode is designed to eliminate the effect of system uncertainties on the state observation. Moreover,...
This paper presents a novel observer-based robust process fault detection and diagnosis (FDD) scheme in a class of nonlinear dynamic systems. The proposed observer synthesis sliding mode techniques and PID-type iterative learning estimators. The observer inputs, which are designed to isolate and estimate faults, are iteratively computed using the proportional, integral, and derivative information...
A fault detection and diagnosis (FDD) scheme using an iterative neuron PID (INPID) observer is explored in this paper. The observer input, which is used to estimate state faults, is computed by utilizing the proportional, integral, and derivative information of the fault estimation error. Two classes of robust adaptive algorithms are adopted to update the parameters of the observer input. Theoretically,...
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