Key Laboratory of Gansu Advanced Control for Industrial Processes

Lanzhou, China

Key Laboratory of Gansu Advanced Control for Industrial Processes

Lanzhou, China
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Wang C.-N.,Lanzhou University of Technology | Ma J.,Lanzhou University of Technology | Ma J.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Liu Y.,Yancheng Teachers University | Huang L.,Lanzhou University of Technology
Nonlinear Dynamics | Year: 2012

In this paper, a certain kind of intermittent scheme is used to control the chaos in a single chaotic Chua circuit to reach an arbitrary orbit. Furthermore, it is confirmed to be effective in suppressing spatiotemporal chaos and a spiral wave in the networks of Chua circuits with nearest-neighbor connections. The controllable and measurable variable is sampled, and the linear error between the sampled variable and the selected thresholds is fed back into the system only if the sampled variable exceeds the thresholds; otherwise, the system will develop itself without any external perturbation. In experiments, the control scheme could be realized by using the Heavside function. In the case of one single chaotic Chua circuit, the chaotic state can be controlled to reach an arbitrary n-periodical orbit (n=1,2,3,5,6,⋯) with appropriate feedback intensity and thresholds. It is argued that this scheme could explain the mechanism of what is called phase compression. Then the phase compression scheme is used to control a spiral wave and spatiotemporal chaos in a network of Chua circuits with 256×256 sites. The numerical simulation results confirm its effectiveness when appropriate upper and bottom thresholds are used by monitoring the measurable output voltages of the chaotic circuit in one site of the network. © 2011 Springer Science+Business Media B.V.


Wang C.-N.,Lanzhou University of Technology | Ma J.,Lanzhou University of Technology | Ma J.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Jin W.-Y.,Shaoguan University | Jin W.-Y.,Lanzhou University of Technology
Dynamical Systems | Year: 2012

The synchronization and parameter identification of six unknown parameters in a chaotic neuron model, which one parameter (about 0.006) is 3 orders of magnitude smaller than the others (about 1-5), is investigated by using Lyapunov stability theory and adaptive synchronization in detail. Two gain coefficients (δ 1,δ2) are introduced into the Lyapunov function to obtain certain optimized controllers and parameter observers. A selectable amplification factor k 0 is presented using scale conversion and it is used to improve the accuracy of parameter estimation with the smallest order. The parameter space for gain coefficient (δ) versus amplification factor k 0, and the parameter space 1 versus 2 at certain fixed amplification factor k δ 0 are calculated numerically. It is found that the selection values of optimized gain coefficients and amplification factor are critical to estimate the six unknown parameters, particularly for the smallest unknown parameters with an order 0.001. The extensive numerical results show that it is more effective to estimate the smallest unknown parameter r when the two gain coefficients δ1and δ2are given the same value and a higher amplification factor k 0is used. It could be useful to estimate the unknown parameters with large deviation of order magnitude, such as a single chaotic Josephson junction coupled to a Resonant tank and other chaotic systems with potential application [Z.Y. Wang, H.Y. Liao, and S.P. Zhou, Study of the DC biased Josephson junction coupled to a Resonant tank, Acta. Phys. Sin. 50(10) (2001), pp. 1996-2000 (in Chinese)]. © Copyright 2012 Taylor and Francis Group, LLC.


Ding S.,Lanzhou University of Technology | Ding S.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Li W.,Lanzhou University of Technology
Key Engineering Materials | Year: 2011

In a variety of materials, the ultrasonic propagation velocity is different. Using ultrasonic reflection principle in the material, the measuring instrument detected the thickness of the measured object. AT89C51 microcontroller as the system core, with ultrasonic probe, transmitter circuit, receiver circuit, counter circuit, LCD display circuit together, completed the measurement of materials thickness. The measurement range was up to a 1.2 ∼ 200mm. Practice shows that the instrument is low cost, high speed, high precision, reliability, adaptability, etc. So it has broad application prospects. © (2011) Trans Tech Publications, Switzerland.


Zhao Z.-H.,Lanzhou University of Technology | Zhao Z.-H.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Hao X.-H.,Lanzhou University of Technology | Hao X.-H.,Key Laboratory of Gansu Advanced Control for Industrial Processes
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2013

A novel supervised linear method based on Locality Preserving Projection (LPP) of reducing dimensionality is proposed for face recognition. In this study, the nearest neighbor graph of LPP is split into within-class graph and between-class graph according to the class label information of samples. After optimizing, the intrinsic local neighbor structure of the samples of same class is maintained and the distances between them are decreased. Meanwhile, the distances between the samples of different class are maximized to increase the space of the distribution of all kinds of samples, and thus the discriminability of the embedding is enhanced. In addition, adaptive neighborhood is applied to the construction of the graph, with the characterization for the sparsity of the sample improved. Experimental results on the two open face databases, Extended Yale B and CMU PIE face database, show that the proposed algorithm improves the accuracy of face recogntion effectively.


Ding S.,Lanzhou University of Technology | Ding S.,Key Laboratory of Gansu Advanced Control for Industrial Processes
Advanced Science Letters | Year: 2012

Ultrasonic wave propagation velocity depends on the liquid downstream or upstream. In the same distance, the ultrasonic propagation time is different. The propagation time difference and the measured fluid flow rate are associated. The article studied the time difference method, and obtained the time difference, and it would calculate the fluid flow meter in the pipe. The error sources and error reducing methods were deeply analyzed, and it realized high-precision measurement of liquid flow. The AT89C51 microcontroller ultrasonic flow meter device has a low cost, high speed, high precision, reliability, adaptability advantages. © 2012 American Scientific Publishers. All rights reserved.


Du X.,Lanzhou University of Technology | Hao X.,Key Laboratory of Gansu Advanced Control for Industrial Processes
Lecture Notes in Electrical Engineering | Year: 2012

International Water Association (IWA) and the European Co-operation in the field of Scientific and Technical Research (COST) Action 682/624 develop the activated sludge wastewater treatment Benchmark Simulation Model No. 1 (BSM1), the main purpose is to establish an activated sludge process (ASP) control program development platform. This paper detailed describes how to use Matlab M-files to establish BSM1, and then gives out the results of the model simulation. © Springer-Verlag Berlin Heidelberg 2012.


Ding S.,Lanzhou University of Technology | Ding S.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Li W.,Lanzhou University of Technology
Sensor Letters | Year: 2011

When the light through the smoke and dust, some light would been absorbed and scattered, leading to attenuation of light intensity. The photoelectric sensor detecting system by comparing the attenuation of the I 0 of incident light intensity and the I 1 of transmitted light intensity to determine the absorbance E and the turbidity C of the dust. System hardware and software combination was to achieve the dust turbidity and absorbance data storage, display and excessive alarm. In order to reduce the measurement error and to adapt to continuous accurate measurement, the system also set the timer dust removal device. The system can be used in food processing, thermal power plants, coal mines and other environment-line continuous detecting. Copyright © 2011 American Scientific Publishers All rights reserved.


Li E.C.,Lanzhou University of Technology | Li Z.M.,Key Laboratory of Gansu Advanced Control for Industrial Processes
Advanced Materials Research | Year: 2011

Surface tracking with robot force control for position-controlled robotic manipulator is proposed. A neural network is applied to classify the unknown environment based on its dynamic response of the environment, on-line force feedback data are employed to estimate the normal and tangential directions of the unknown environment, the estimated vectors are used to generate the reference trajectory for the target impedance model. Real-time calculates the curvature of curve to be tracked to adjust the speed of the tangential direction, the reference scaling factor is determined by fuzzy reasoning according to current and forecast contact force, in order to adapt the reference trajectory generated for the changeable environmental parameters and control parameters. Simulation is conducted to verify its force tracking capability. © 2011 Trans Tech Publications.


Wang X.,Lanzhou University of Technology | Wang X.,Key Laboratory of Gansu Advanced Control for Industrial Processes | Ge P.,Lanzhou University of Technology
Dianli Zidonghua Shebei/Electric Power Automation Equipment | Year: 2013

As the solar radiation time, solar radiation intensity and air temperature are the main influencing factors of PV array output power and there is strong correlation in output power among the similar days, a forecasting model of PV array output power is designed based on similar days and RBFNN(Radial Basis Function Neural Network), which takes the difference of meteorological feature vector between the nearest similar day and the day to be forecasted as the input variable of RBFNN and its output as the forecasted PV array output power. The proposed model is trained and verified with the measured power dada of a PV array in Northwest China. Its mean absolute percentage error obtained is 13.82% and its root mean square error is 0.4054, showing its high accuracy.


Zhou Y.,Lanzhou University of Technology | Li S.,Lanzhou University of Technology | Zhou Y.,Key Laboratory of Gansu Advanced Control for Industrial Processes
Journal of Theoretical and Applied Information Technology | Year: 2012

In this paper, we study the performance of the classical SW-ARQ, multichannel SW-ARQ and GBN-ARQ in discrete-time Geom./G/1 queue with setup mechanism. Based on the method of embedded Markov chain, the expressions of the packet average waiting delay, system average delay and channel utilization are respectively obtained. Finally, by numerical examples, we analyze the influences of packet length, the successful transmission probability and packet arrival rate on system average delay. The numerical simulation results show that the system delay could be lower by choosing an appropriate ARQ protocol. © 2005 - 2012 JATIT & LLS.

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