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This paper is devoted to the investigation of exponential stability of Neutral-type impulsive Markovian jump neural networks with mixed time-varying delays and generally uncertain transition rates (GUTRs). Each transition rate can be completely unknown or only its estimate value is known in this GUTR model. This new uncertain model is more general than the existing ones. By utilizing Lyapunov–Krasovkii...
The basic structure of steel plate crosscut production line is presented ; PROFIBUS-DP network technology is adopted as realizing method of control system, which is a developing direction of industry automation control technology today, selecting S7-300 CPU315-2DP as the control center, TP270(Touch Panel) as man-machine interactive equipment and IMOREG DC Master(6RA70) as performance equipment. All...
Traditional run way of the heavy adjustor in thermal power plant fuel system and its creation to influence badly is carefully investigated. Based on run characteristics of heavy adjustor, technology scheme that traditional run mode is improved by PLC as central controller and variable frequency control technology is deeply studied, variable frequency control system and electricity reformation circuit...
A global sliding mode control scheme by neural networks is proposed for high performance drive systems of brushless DC motors with uncertain external disturbances and unknown loads. A global sliding mode manifold is designed in this approach, which guarantees that the system states can be on the sliding mode manifold at initial time and the system robustness is increased. A radial basis function neural...
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