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Partial synchronization of Hindmarsh-Rose neurons via active disturbance rejection control

Partial synchronization of Hindmarsh-Rose neurons via active...

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第24届中国控制与决策会议

作者： Li Siyao 1 , Zhang Guoshan 2 1. school of electrical Engineering and automation, Tianjin University, Tianjin 300072, china2. school of electrical Engineering and automation, Tianjin University, Tianjin 300072, china

The partial synchronization of two Hindmarsh-Rose （HR） neurons without coupling via active disturbance rejection control is investigated in this paper. As the external direct current changes, the single HR neuron exhibits various dynamical behaviors, such as resting potential state, bursting, chaos, spiking and so on. When each neuron is in chaotic state, the synchronization will occur only if the coupling between them exists and the coupling strength satisfies some condition. For non-coupled HR neurons, we adopt the active disturbance rejection control approach to achieve the partial synchronization. The simulation results demonstrate the effectiveness of the proposed method.

关键词： Partial synchronization HR neuron Active disturbance rejection control

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Performance Compensation of GMR-based Magnetic Azimuth Measurement System

Performance Compensation of GMR-based Magnetic Azimuth Measu...

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第24届中国控制与决策会议

作者： Xueli Zheng 1 , Jingqi Fu 2 1. school of Mechanical and electrical Engineering and automation, Shanghai University, Shanghai 200072, china2. school of Mechanical and electrical Engineering and automation, Shanghai University, Shanghai 200072, china

The magnetic azimuth is one of the important parameters of the directional navigation. This paper proposes a magnetic azimuth measurement system based on the GMR sensor. With the thoughts of information fusion, we study the performance compensation method of magnetic azimuth measurement system based on the radial basis function （RBF） neural network and the BP neural network, and then establish a coupling disturbance compensation model of the magnetic field and the temperature. The experimental results illustrate that the maximum full-scale error of sensor output without compensation is ±21.3%, and the maximum full-scale error after the coupling compensation of the BP neural network and the RBF neural network are ±2.72% and ±0.52% respectively.

关键词： GMR Sensor Magnetic Azimuth RBF Neural Networks Coupling Compensation

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Design of Magnetic Azimuth Measurement System Based on GMR Sensor

Design of Magnetic Azimuth Measurement System Based on GMR S...

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第24届中国控制与决策会议

Magnetic azimuth is one of the important parameters of the directional navigation, it provides an important basis for navigation. First, the author deduces the mathematical model of geomagnetic azimuth measurement system, and achieves the full range of measurement of magnetic azimuth through the method of quadrant discriminant. Then, in this paper, it introduces the hardware and software design of the magnetic azimuth measurement system based on the GMR sensor, accelerometer, temperature sensor and microprocessors etc. Finally, this paper gives the actual measurement results of the azimuth measurement system rotated in the horizontal plane. The results show that the system can accurately capture faint magnetic changes, which will meet the requirements of the navigation orientation, and provide a reliable magnetic field data and realize basis for the magnetic azimuth calculation.

关键词： GMR Sensor Magnetic Azimuth Quadrant Discriminant Method

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A Satisfactory Goal Programming and Analysis Method for Fuzzy Multi-Objective Optimization

A Satisfactory Goal Programming and Analysis Method for Fuzz...

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第三十届中国控制会议

作者： HU Chaofang~1,WANG Na~2 1.school of electrical Engineering and automation,Tianjin University,Tianjin 300072,P.R.china 2.school of electrical Engineering and automation,Tianjin Polytechnic University,Tianjin 300160,P.R.china

A satisfactory goal programming and analysis method for fuzzy multi-objective optimization problem is proposed in this *** preemptive priority requirement,the order of satisfactory degrees denoting that the higher priority achieves the higher satisfactory degree is applied to the priority structure instead of lexicographic *** strict constraints about satisfactory degree are relaxed to formulate parametric goal programming *** existence of its optimal solution is guaranteed and the parameter analysis algorithm is *** the proposed method,the tradeoff between multi-objective optimization and priority is realized and the M-Pareto optimality of the solution is *** numerical example demonstrates its effectiveness and sensitivity.

关键词： Multi-Objective Optimization Goal Programming Priority Satisfactory Degree Parametric Programming

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Experimental Study on Improving the Bearing Raceway’s Surface Morphology

Experimental Study on Improving the Bearing Raceway’s Surfa...

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Fifth International Conference on Surface Engineering

作者： Wu Mingyuan1 Yang Wei1 Yang Ting2 1 school of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang china 2 school of electrical and automation Tianjin University Tianjin china

The surface morphology of raceway is one of the key factors for the bearing’s vibration and *** paper proposes a novel method,which is using the nanocomposite chemical grinding reagent to deal with the surface of the bearing’s friction *** the nanocomposite material’s physical and chemical characteristics,the method integrates the mechanical grind and chemical abrasion to effectively improve the surface morphology of the scroll raceway and body for reducing the running vibration and *** the processing,nanocomposite materials not only have the mechanical grinding effect but also have the electrochemical *** the friction pair and the grinding reagent,there are energy exchange and mass *** the positive mechanical gradient’s metal protective film,the adsorbed deposit film and the chemical adsorbed surface film are formed on the friction surfaces,which can repair the friction pair’s wearing and corrosion,called the self-repairing effect on *** on analysis,we find this self-repairing is a kind of conditional *** friction pair’s relative motion and the reagent are the necessary conditions for self-repairing,and the nanocomposite materials have the significant effect on forming the self-repairing *** film not only can resist friction but also can compensate the wear *** the paper,we detailedly account the grinding mechanism,the characteristics and function of each grinding material,and the new method’s processing *** the difference from the bearing slices’ surface morphology between the fore and after grinding,we get the experimental findings:the roughness of the scroll surface Ra is decreased from 0.24592 μm to 0.17423 μm and Ry is decreased from 3.68 μm to 1.54 μm,which means the bearing’s surface morphology is effectively improved;Using the environmental scanning electron microscopy to observe the microscopic changes of the surface morphology,we pleasantly find the obviou

关键词： Surface Morphology Bearing Nanocomposite Material Grinding Reagent

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Stability of a Controlled Strings Network With a Circuit

Stability of a Controlled Strings Network With a Circuit

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2010 Chinese Control and Decision Conference

作者： Dongyi Liu~(1,2),Genqi Xu~(3,4) 1.school of Science,Tianjin University,Tianjin,300072,P R china 2.school of electrical Engineering and automation,Tianjin University,Tianjin 300072,china 3.school of Science,Tianjin University,Tianjin,300072,P R china 4.school of electrical Engineering and automation,Tianjin University,Tianjin 300072,china

A strings network with a circuit is considered under the assumptions that the network is connected and are fixed at the exterior nodes and that the controllers are placed on the inner nodes of the *** the semigroup theory and the spectral analysis,it is shown that the system satisfies the Riesz basis property and the spectrum determined growth ***,by the spectral analysis in imaginary axis,some sufficient conditions are provided for the asymptotical stability of the network.

关键词： Elastic strings network Spectral analysis Riesz basis Spectrum determined growth condition Asymptotical stability Closed loop system

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Adaptive Chaotic Synchronization of Hindmarsh-Rose Network with Gap-junction

Adaptive Chaotic Synchronization of Hindmarsh-Rose Network w...

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第三十届中国控制会议

作者： LI Huiyan~1,WANG Jiang~2,JIA Chenhui~2,DENG Bin~2,WEI Xile~2,CHE Yanqiu~1,QIN Yingmei~2 1.school of automation and electrical Engineering,Tianjin University of Technology and Education,300222, Tianjin,P.R.china 2.school of electrical and automation Eng.,Tianjin University,300072,Tianjin,P.R.china

It is common that a neuron or a network in the tissue or organ of human makes an unusual action which will lead to some illnesses such as depression and epilepsy because some parameters of the neuron are changed or some connections in the network are strengthened,weakened,or *** it is important to adjust the ill neuron or network back to normal *** this paper,we use model reference adaptive control method to adjust the abnormal parameters in an abnormal network back to normal conditions without considering the structure of the ***,both the behaviors and the abnormal parameters of the abnormal neurons in the network are adjusted to normal conditions.

关键词： Chaotic Synchronization Network with Gap-junction Adaptive Control

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Stability Analysis for a Class of Discrete-Time Markovian Jumping Systems with Input Quantization

Stability Analysis for a Class of Discrete-Time Markovian Ju...

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第三十一届中国控制会议

作者： He Enyu~1 Kang Yu~(1*) Tang Hao~2 1.Department of automation University of Science and Technology of china Hefei Anhui 230027 P.R.china 2.school of electrical Engineering and automation Hefei University of Technology Hefei 230009 P.R.china

＜正＞A class of discrete-time Markovian jumping systems with mode-dependent delays and input quantization is investigated in this *** quantized input signals are dealt with by utilizing the sector bound *** conditions under which the close-loop system is stochastic stable are developed and the corresponding controller is ***,a numerical example is presented to show the effectiveness of the results.

关键词： Markovian jumping systems mode-dependent time-delay stochastic stability quantized input.

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Application of FCM Clustering Based Rough Sets on Steel Rolling Process

Application of FCM Clustering Based Rough Sets on Steel Roll...

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2010 Chinese Control and Decision Conference

作者： Li Wang~(1,2),Xianzhong Zhou~1,Guangming Zhang~2 1.school of Engineering and Management,Nanjing University,Nanjing 210093,china 2.school of automation and electrical Engineering,Nanjing University of Technology,Nanjing 210009,china

＜正＞This paper presents a model for predicting steel mechanical property based on rough sets and fuzzy c means *** sets is an intelligent method,which can only be applied to data table with discrete *** the practical data set is normally continuous,and rough sets cannot be used *** clustering is used to transform the continuous attributes to discretized ones and a discretized decision table can be *** sets reduce the discretized decision table to discover significant attributes of a data set and filter out those attributes which are ***, to verify the validity of the proposed method,it is used for practical data acquired from some steel works,and the simulation results show that the attribute reduction contains the same information as the original one.

关键词： Rough Sets Fuzzy C-means Clustering Discretization Attribute Reduction Steel Rolling Process

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The Effect of Extreme Low Frequency External Alternating-Current Field on the Adaptability in the Ermentrout Model

The Effect of Extreme Low Frequency External Alternating-Cur...

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第24届中国控制与决策会议

作者： Jiang Wang 1 ,Li Chang 1 ,Bin Deng 1 ,Xile Wei 1 ,Huiyan Li 2 1. school of electrical and automation Eng., Tianjin University, 300072, Tianjin, P. R. china 2. school of automation and electrical Engineering, Tianjin University of Technology and Education, 300222, Tianjin, P.R. china

Spike-frequency adaptation is a prominent aspect of neuronal dynamics in neural information processing. The external electric field has an effect on the dynamic behavior of the neural system, affecting the generation and conduction of neural information. Based on the Ermentrout model, a modified Ermentrout model under the external electric field is established. From the membrane potential curve and spike frequency curve both changing with time and the onset spike frequency curve changing with the input signal, the changes of the adaptability and the requirements met by the external electric field for the adaptive model are given. The research results suggest a functional role for the external electric field in the excitability of biological nervous system and pathogenesis of several neurological diseases.

关键词： Spike-frequency adaptation the external alternating-current field the Ermentrout model

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