Liu Wenjiang

Application of Array Measurement in Blind Identification

This paper deals with blind identification and deconvolution algorithm for an arbitrary, possibly white or colored, stationary or nonstationary signal, which is observed through array sensors. By using multiple sensors with their individual outputs sampled at a rate 1/T, one can obtain cyclostationary signals. They can be considered as a single-input multiple-output model with an identical but unknown input signal. With the array measurement, an algorithm for estimating the system transfer function model and its parameters is presented.

Multilayer Fuzzy Control of Intersections Community Based Traffic Forecast of Type-2 Fuzzy Logic

A new concept, intersections community, which is the systematism of intersections set is imported to study congested traffic of hotspot in metropolis. The intersections in boundary play a main role in the traffic signal control of intersections community system. The object of control is multi-goals, that means not only minimizing mean delay time but also anti-congestion because congestion of traffic causes severe problems in such a limited and congested area. A new traffic forecast method based type-2 fuzzy logic is developed to improve performance of the control loop. As a result, an arithmetic of multilayer anti-congestion fuzzy control based traffic forecast of type-2 fuzzy logic(T2F-MACFC) to traffic signal of intersections community is proposed, which decreases 50% congestion problems comparing with GLIDE (Green Link Determining) according to computer simulation. Moreover, the type-2 fuzzy logic traffic forecast method contributes 15% increase of vehicle mean speed.

Close-Loop System Identification Using Over-sampling Scheme and Its Estimate Accuracy Analysis

A new identification method for a linear discrete-tune closed-loop system is proposed based on an output over-sampling scheme When the system outputs are over-sampled the new output sequences would contain more information about the plant structure. Using general least squares method (GLS) the plant over-sampled model should be recognized. Then the original plant model should be obtained by its relationship with the over-sampled model. Compared with conventional approaches the advantage of the new method is that even if the ordinary identifiability conditions are not satisfied, a close-loop system can be identified by using the over-sampled output without utilizing any external test signal. Accuracy analysis shows the relationship between the estimation error and the over-sampling rate. Numerical simulation illustrates its effectiveness.

Measurement and control of combustion process of industrial furnaces

This paper studies a kind of combustion control strategy based on the power spectral distribution property of the minute pressure pulsation signal (MPPS) of flame. The experiment research shows that the power spectral distribution property of MPPS can describe the combustion state of industrial furnaces and the MPPS can be fastly obtained by direct detection. The proposed method can provide faster and more effective regulation on the fuel-air ratio than the conventional ones based on the measurement of excess O/sub 2/ content in the exhaust gas.<<ETX>>