Research on Relay Contact Conversion Model Based on Nonlinear Least Square Method

Author(s):  
Cong Li ◽  
Zhiwei Li ◽  
Tao Li ◽  
JunChao Zhu ◽  
Jianwen Li ◽  
...  
1998 ◽  
Vol 37 (12) ◽  
pp. 335-342 ◽  
Author(s):  
Jacek Czeczot

This paper deals with the minimal-cost control of the modified activated sludge process with varying level of wastewater in the aerator tank. The model-based adaptive controller of the effluent substrate concentration, basing on the substrate consumption rate and manipulating the effluent flow rate outcoming from the aerator tank, is proposed and its performance is compared with conventional PI controller and open loop behavior. Since the substrate consumption rate is not measurable on-line, the estimation procedure on the basis of the least-square method is suggested. Finally, it is proved that cooperation of the DO concentration controller with the adaptive controller of the effluent substrate concentration allows the process to be operated at minimum costs (low consumption of aeration energy).


2013 ◽  
Vol 380-384 ◽  
pp. 1370-1373
Author(s):  
Xiao Ling Zhang ◽  
Li Kun Zou

According to the traditional UMDH network modeling with the least square method to recognize parameters ,it's easy to fall into local minimum ,and with the result that the prediction effect is not ideal. This paper puts forward to combine the simulated annealing algorithm and genetic algorithm, and introduces the combined algorithm to the UMDH network which is used to identify some of its description type coefficient. In this paper ,it describes the simulated annealing genetic algorithm ,and constructs the UMDH network model based on this algorithm, and the model is applied to the simulation of debris flow prediction research ,forecast average relative error reached 3. 54%. The results show that the algorithm not only ensuring the global optimization but also preventing premature convergence, improve the UMDH network model of global and local searching optimal ability further.


2011 ◽  
Vol 48-49 ◽  
pp. 660-663 ◽  
Author(s):  
Yan Wang ◽  
Jian Fei Ouyang

408 acupoints of human body, including 362 acupoints of the fourteen meridians and 46 extra points, are the exit and entrance of the Viscera Meridians energy. The acupoints location is fundamental to study Chinese Medicine. The paper presents a new precision modeling and measuring technology for acupoints location on head-model based on machine vision. The head-model is measured fast and accurately by the structured-light scanning. The digital model of head-model can be made from the cloudy data through the acquisition, align, merge, and edit. The head-model coordinate systems based on the geometric morphometry is developed for dynamic measurement of an unfixed live head in which any acupoints coordinate can be measured. The plane is established based on the symmetric head. The curve of the plane across nose is fitted by the least-square method. The origin is acquired from the curve first derivative, which is unique and accurate. The tangent through the origin is defined as Z-axis. The line through the origin, perpendicular to the symmetric plane and XZ-plane are defined as X-axis and Y-axis respectively. Some important geometric parameters of the head-model are measured accurately by the digital model such as distance between all pairs of acupoints and interior angles from a triangulation of the acupoints in order to assistant locating the acupoints well. The proposed strategy in this study provides powerful weapons for acupoints location in Traditional Chinese Medicine.


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