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郭上江, Shangjiang Guo* and Lihong Huang
PHYSICAL REVIEW E 67, 011902(2003),-0001,():
-1年11月30日
In this paper we study a class of neural networks with continuously distributed delays. By means the of yapunov functional method, we obtain some sufficient conditions ensuring the existence, uniqueness, and global exponential stability of the equilibrium and periodic solution. We also estimate the exponentially convergent rate. Our results are less restrictive than previously known criteria and can be applied to neural networks with a broad range of activation functions assuming neither differentiability nor strict monotonicity. Moreover, these conclusions are presented in terms of system parameters and can be easily verified. Therefore, our results play an important role in the design of globally exponentially stable neural circuits and periodic oscillatory neural circuits.
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【期刊论文】Capacitance-based concentration measurement for gas-particle system with low particles loading
郭上江, Lijun Xu a, *, Alfred P. Weber b, Gerhard Kasper b
Flow Measurement and Instrumentation 11(2000)185-194,-0001,():
-1年11月30日
A parallel-plate capacitance-based sensor configuration which can be used to measure low mass concentrations down to a few tens of g/m3 for gas-particle systems and to study the influence of the particle characteristics such as particle size, packing or agglomeration on the effective permittivity of the mixture was developed. In this sensor a two channel symmetric structure and an AC bridge circuit were adopted to minimise the influence from the surrounding factors such as temperature, pressure and humidity. The inner diameter of the flow pipeline is 18mm, the dimension of the capacitance plate is 100mm 50mm and the distance of the two plates is 10mm. To measure the concentration of particles an in situ two-step measurement was proposed, i.e. zero point and loading measurements. Emphasis was made on estimation of the static and dynamic performance of the capacitance sensor and configuration. The baseline drift of the sensor and the influence of surrounding factors were studied. Dynamic experiments show a relative measurement error of 8% in the range from 10 to 300g/m3. Static experiments for locally packed particle-gas systems show that the response of the sensor depends not only on particle material but also on particle size.
Capacitance sensor, Mass concentration, Effective medium approximation (, EMA), , Particle size and measurement
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