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第26届中国过程控制会议（CPCC2015）

作者： Pian Jinxiang Zhu Yunlong Liu Jinxin Chai Tianyou Qi Aiwei School of Information and Control engineering Shenyang Jianzhu University Key Laboratory of Networked Control System Chinese Academy of Sciences State Key Laboratory of Integrated Automation for Process Industry Northeastern University

The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close loop control methods. But fortunately, there is the repeated characteristic in the laminar cooling process, which is very suited to apply the iterative learning between the strips. So, PI iterative learning method is proposed in this paper to learn the inner knowledge between the strips with similar working condition. On the other hand, in order to improve the control effect,CBR(case-based reasoning) technology is applied to adjust the parameters P and I according to the changing working conditions. The experiments are conducted with industrial operating data. The results show that, with the proposed method, it is effective to find the right operating point quickly and the strip coiling temperature can be controlled in the suitable range.

关键词： laminar cooling iterative learning CBR(case based reasoning) strip coiling temperature

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Prediction of Single Neural Firings for Hodgkin-Huxley Neuron by Fitting Generalized Linear Model

Prediction of Single Neural Firings for Hodgkin-Huxley Neuro...

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第三十四届中国控制会议

作者： Xile Wei Dingtian Shi Meili Lu Bin Deng Haitao Yu Jiang Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University School of Informational Technology and Engineering Tianjin University of Technology and Education

ISBN: (纸本)9781467374439

At the single neuron level, neural information processing involves the transformation of input stimulation into an output spike train. Here a generalized linear model(GLM is used to reconstruct the mapping from stimulation to firing trains of single neuron for Hudgkin-Huxley(H-H) model. Firstly, H-H model is stimulated by the white noise to generate the input-output data samples used to construct GLM. Then, the parameters of GLM are estimated according to the maximum likelihood of the spike time serial of spike trains extracted from action potential of H-H. After that, the input-output mapping of spike trains evoked by white noise for H-H is successfully reconstructed. Through comparing the inter spike interval(ISI) and Pearson's correlation coefficient, it also proves that the established GLM provides a good reproduction and prediction of the firing information for H-H. These studies provide us a new insight into coding processes and information tansfer of single neural.

关键词： Generalized linear model,Hodgkin-Huxley Neuron,Spike trains,Prediction

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Frequency-window effects of subthreshold electric fields on neuronal discharges of active neurons

Frequency-window effects of subthreshold electric fields on ...

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第三十四届中国控制会议

作者： Xile Wei Bingjie Li Meili Lu Jiang Wang Bin Deng Haitao Yu Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University School of Informational Technology and Engineering Tianjin University of Technology and Education

ISBN: (纸本)9781467374439

with a two-compartment model, we investigate how subthreshold sinusoidal electric fields(EFs) affect neuronal discharges of active neurons by adjusting the field intensity and the field frequency. It's found that apparent fluctuations on neuronal discharges only appear within several stimulus frequency windows. And when the field frequency is adjusted to be close to the multiple of the intrinsic spiking rate, the fluctuations are maximized. Compared with the change in neuronal spiking rate, the modulation of neuronal spike timing induced by subthreshold EFs is stronger. Additionally, field effects on neuronal discharges are enhanced by the increasing stimulus intensity. Our results provide useful guidance to understand how subthreshold sinusoidal EFs modulate neuronal discharges, which may help to improve the future electromagnetic therapy.

关键词： subthreshold sinusoidal electric fields,spike timing,spiking rate

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Dependence of Neural Network Synchronization on the Extracellular Electric Field and Neural Morphology

Dependence of Neural Network Synchronization on the Extracel...

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第三十四届中国控制会议

作者： Xile Wei Kaili Si Meili Lu Jiang Wang Bin Deng Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University School of Informational Technology and Engineering Tianjin University of Technology and Education

ISBN: (纸本)9781467374439

Based on the two-compartment neuron model, the influence of neuronal morphology on firing and phase response curves(PRC) of cells are investigated. And by means of PRC, the relationship between neuronal morphology and network synchronization stimulated by extracellular electric field is studied. Results showed that the excitability of neurons can present different types when the morphological parameter is different. Furthermore, the sensitivity of neuronal synchronization to extracellular electric field has big difference for different morphological parameters.

关键词： Two-compartment neuron,synchronization,extracellular electric field,morphology,phase response

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Robust tracking control design for a flexible air-breathing hypersonic vehicle

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Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Odor sources mapping with D-S inference in time variant airflow environments via a mobile robot

Odor sources mapping with D-S inference in time variant airf...

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IEEE International Conference on Cyber Technology in automation, control, and Intelligent Systems

作者： Li Ji-Gong Zhou Jie-Yong Sun Biao Liu Jia Yang Li Tianjin Key Laboratory of Process Measurement and Control Tianjin China School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Electrical Engineering and Automation Tianjin University Tianjin China

This paper addresses the problem of localization of multiple odor sources using a mobile robot in a time-variant airflow environment, and provides a mapping method which uses the Dempster-Shafer (D-S) theory to reason the possible locations of several odor sources. In the proposed method, the robot carries out the D-S inference and iteratively updates a grid map in which each cell has two states (i.e., occupied by an odor source, and not occupied by odor source), using the successive measurements from a gas sensor and an anemometer when the robot is cruising in the given search area. Considering the fact that in outdoor environments air almost always flow and vary with time, estimated air-mass paths are used to construct the belief mass functions of the D-S inference. Here the air-mass path is defined as the trajectory most likely taken by an air mass encountered with the mobile robot in a time-varying airflow environment, and an air mass can contain odor molecules and bring them to the robot, or not contain odor molecule and just pass by the robot. Simulations are carried out and the results in a time-variant airflow environment show that the locations of the multiple odor sources can be mapped online with the proposed method.

关键词： Mobile robots Atmospheric modeling Estimation Robot sensing systems Trajectory Algorithm design and analysis

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An Improved Command Switching controller Design for Turbofan Aero-engine

An Improved Command Switching Controller Design for Turbofan...

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第三十四届中国控制会议

作者： Chun-Hao Zhao Xi-Ming Sun Chao Chen Jun Zhao The School of Control Science and Engineering Dalian University of Technology The State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) College of Information Science and EngineeringNortheastern University

ISBN: (纸本)9781467374439

An improved command switching control strategy is proposed to solve the multi-objective switching control problem with the acceleration and temperature safety protection for turbofan aero-engines. An improved switching law is designed to avoid frequent switching. Properly designed integrator reset technique is utilized to improve the thrust tracking *** control parameters can be optimized to obtain satisfactory safety and acceleration performance. The proposed switching controller is applied to a linear parameter-varying model of the aero-engine. Simulation shows that the proposed switching control strategy can bring the improvement on both safety and acceleration.

关键词： Aero-engine,switching control,multi-objective control

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A high-order sliding mode stator flux observer for asynchronous motor based on feedback linearization

A high-order sliding mode stator flux observer for asynchron...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yuedou Pan Tao Chen School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China

ISBN: (纸本)9781467376839

This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and the nonlinear state feedback are derived based on the affine nonlinear model of asynchronous motors by using the nonlinear system's differential geometry theory. Then the asynchronous motor system is input-output linearized and the feedback linearization model of asynchronous motors is obtained. On this basis, a high-order sliding mode rotor flux observer for asynchronous motor is designed to estimate rotor flux, and this paper analysis the stability of the designed observer, then we can calculate stator flux by using the rotor flux. The designed observer is applied to Direct Torque control (DTC) of the asynchronous motor and achieves a good control performance. Simulation results verify the effectiveness and feasibility of the proposed method.

关键词： Stators Observers Rotors DC motors Nonlinear systems State feedback

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Distributed consensus of linear multi-agent systems with fault tolerant control protocols 33

Distributed consensus of linear multi-agent systems with fau...

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第三十三届中国控制会议

作者： ZUO Zhiqiang ZHANG Jun WANG Yijing Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University

ISBN: (纸本)9781479947249

In this paper,the problem of fault tolerant consensus control of linear multi-agent systems is investigated using two control protocols,namely,the fixed-gain control protocol and the adaptive-gain control *** the first part,a fixed-gain control protocol is proposed which guarantees the consensus under all possible actuator *** a two-step constructive algorithm of the fixed-gain control protocol is *** the second part,the failure rate-based adaptive control protocol is developed to compensate for the failure effects on multi-agent *** of the fixed gain,the adaptive gain in the control protocol is time varying with respective to the online estimation of failure rates,which follows the projection operator adaptive ***,a criterion is derived for reaching consensus under the adaptive-gain control protocol when the multiagent systems are subjected to actuator *** procedures to construct the adaptive-gain control protocol are *** examples are finally included to illustrate the theoretical results.

关键词： Multi-agent systems,Consensus,Fault tolerant control,Fixed-gain control protocol,Adaptive-gain control protocol

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A novel model and behavior analysis for a swarm of multi-agent systems with finite velocity

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Chinese Physics B 2014年第9期23卷 590-593页

作者：王良顺吴治海 Key Laboratory of Image Processing and Intelligent Control of the Ministry of Education School of AutomationHuazhong University of Science and Technology Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education School of Internet of Things EngineeringJiangnan University

Inspired by the fact that in most existing swarm models of multi-agent systems the velocity of an agent can be infinite, which is not in accordance with the real applications, we propose a novel swarm model of multi-agent systems where the velocity of an agent is finite. The Lyapunov function method and LaSalle＇s invariance principle are employed to show that by using the proposed model all of the agents eventually enter into a bounded region around the swarm center and finally tend to a stationary state. Numerical simulations are provided to demonstrate the effectiveness of the theoretical results.

关键词： multi-agent systems swarm finite velocity attraction and repulsion

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