Xiucheng Dong

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This paper is concerned with the problem of finite-time H∞ control for a class of Markovian jump systems with mode-dependent time-varying delays via new Lyapunov functionals. In order to reduce conservatism, a new Lyapunov-Krasovskii functional is constructed. Based on the derived condition, the reliable H∞ control problem is solved, and the system(More)
Under pressure toward carbon emission reduction and air protection, China has accelerated energy restructuring by greatly improving the supply and consumption of natural gas in recent years. However, several issues with the sustainable development of the natural gas industry in China still need in-depth discussion. Therefore, based on the fundamental ideas(More)
The worldwide energies’ price continues to rise again. More countries pay more attention to unconventional energies. Shale gas is one of the significant unconventional energy sources. With the successful development of shale gas in the United States, more and more countries and corporations focus on the shale gas exploitation. The large recoverable reserves(More)
The PID (proportional-integral-derivative) neural network (PIDNN) controller based on genetic algorithm (GA) for ball and plate system is proposed in this paper. Genetic algorithm is applied in training weighting factor of multilayered forward neural network, thus the disadvantage of BP algorithm that easily fall into partial extreme value can be overcome(More)
The Chinese government has introduced numerous policies and development plans to boost its shale gas industry in recent years. However, China’s shale gas exploration and development is still in the initial stage and has been confronted with many challenges. This paper systematically analyzes the current status of China’s shale gas industry from five aspects(More)
In this paper, the stability problem is studied for a class of Markovian jump neutral nonlinear systems with time-varying delay. By Lyapunov-Krasovskii function approach, a novel mean-square exponential stability criterion is derived for the situations that the systems transition rates are completely accessible, partially accessible and non-accessible,(More)
A RBF neural network control system optimized by Particle Swarm Optimization is proposed. The control system was constructed by two RBF neural network, one was used as identifier and the other was used as controller. The system parameters were optimized by PSO, RBF neural network identified the nonlinear controlled object, the obtained Jacobian information(More)
This paper is composed with the cardiac sound measurement and analysis system for in-home use of heart abnormality monitoring. The heart sound acquiring system is composed of a traditional chest-piece, earphone, microphone, and IC recorder. The recorded data is transmitted to a computer by USB interface for analysis based on the cardiac sound characteristic(More)