Xiuyan Peng

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According to the problem of small samples and nonlinear feature in fault diagnosis of marine diesel engine, comprehensively using the methods of grey relational analysis and kernel fuzzy c-means clustering, a method solving fault diagnosis of marine diesel engine is proposed. Firstly, kernel fuzzy c-means clustering was made on historical fault dataset.(More)
This paper investigates the problems of mode-dependent and mode-independent H∞ filtering for a class of continuous-time two-dimensional (2-D) Markovian jump linear systems with deficient transition descriptions. The 2-D systems under consideration are described by the well-known Roesser model and subject to the deficient transition descriptions in the(More)
An online neural-net control system, in which learning and control are independently carried out, is proposed for the problem of ship motion control, including roll, yaw and sway stabilization at the same time. Disturbance models, including roll moment, yaw moment and sway force induced by sea wave and wind, are presented by the experimental data in tank.(More)
According to the nonlinear characteristics of ship motion, Echo State Network (ESN) is proposed for modeling in ship motion. Meanwhile, ESN training algorithm exists deficiency at present. So it is Kalman filter algorithm that is applied to recursive training network output connected weight. Combining the phase-space reconstruction, prediction model of Echo(More)
A system, which can capture the real time image of ablative surface under strong stray light environments caused by plasma arc, has been presented. The system has been under nearly one year of service in some national key laboratory. It has been shown that the system can effectively shield the influence of plasma jet and stray light with the temperature(More)
In this paper, an adaptive neural-net control system, in which learning is performed in a loop totally independent from the control loop, is proposed for the problem of ship roll stabilization. The modeling of the ship and the controller are adjusted continuously in order to deal with changes of dynamic properties caused by disturbances. Based the(More)
A method of data driven fault diagnosis for ship course control of sensor fault and steering gear fault in this paper. The offline data are used to identify the parity space and vector, and designed observer class residual generator, which can construct the residual signal, and evaluate the threshold value, so as to realize fault diagnosis of abnormal(More)
An integral nested sliding mode control (INSMC) is proposed for the ship turning control problem by employing integral sliding mode (ISM) and nested sliding mode (NSM) concepts. This controller has the robustness of NSM against matched and unmatched perturbations, and the capability of ISM to reduce the sliding functions gains. The simulation illustrates(More)