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24th International Display Workshops, IDW 2017

作者： Ma, Kui Per, Renjing Geng, Zheng Zhang, Zhaoxing School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

We present a light field reconstruction algorithm based on splitting-splicing theory increasing number of viewpoints without increasing the number of projectors, which can adjust the distance of two adjacent view imag... 详细信息

ISBN: (纸本)9781510858992

关键词： Field emission displays

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Robust Disturbance-Rejection for a Class of Nonlinear systems

Robust Disturbance-Rejection for a Class of Nonlinear System...

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第37届中国控制会议

作者： Pan Yu Kang-Zhi Liu Min Wu Jinhua She Department of Electrical and Electronic Engineering Chiba University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Information Science and Engineering Central South University School of Automation China University of Geosciences School of Engineering Tokyo University of Technology

This paper presents a robust disturbance-rejection method for a system with a time-variant nonlinearity and a disturbance. The nonlinear dynamics which satisfies Lipschitz condition is unknown. The disturbance is also unknown but *** advantage of stable inversion, an improved EID(IEID) is utilized to deal with the total effect of the nonlinearity and disturbance. To reduce the conservativeness of system design, a feedback control gain is obtained in prior to the control gains of the observer and the IEID estimator. Then a Lyapunov functional considering the information of the nonlinearity is constructed and based on that, a linear-matrix-inequality(LMI)-based stability condition is derived to acquire the gains of the observer and the IEID estimator. Two tuning parameters are introduced in the LMI to enable the adjustment of disturbance-rejection performance. Finally, simulations for a flight control system show that the developed method has good robustness. Comparisons with disturbance-observer-based control(DOBC), composite DOBC and H control, and conventional EID-based control methods demonstrate the effectiveness of the developed method and its advantages over others.

关键词： Disturbance-rejection improved equivalent-input-disturbance（EID） linear matrix inequality（LMI） nonlinear system robustness

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Cooperative Line-of-Sight (LOS) Based control for Moving-Center Formation Flight of Multi Vehicles

Cooperative Line-of-Sight (LOS) Based Control for Moving-Cen...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Tingting Zhang Jianying Yang Tianxiu Wang State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing P. R. China Beijing Aerospace Automatic Control Institute Beijing P. R. China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

This note investigates the problem of moving-center formation of multi vehicles, such that the controlled vehicles orbit around a center moving with time-varying radius along the common circle, or move along the same straight line like geese in V formation. Cooperative controllers of these two formations flying are developed for each vehicle based on neighborhood information only. Finally, the effectiveness of the proposed controller is verified by the simulation results of different missions.

关键词： Acceleration Task analysis Unmanned aerial vehicles Magnetic resonance imaging Lyapunov methods Trajectory Time-varying systems

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Development of a Tetris Playing Robot controlled by KNR

Development of a Tetris Playing Robot Controlled by KNR

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IEEE International Conference on Mechatronics and Automation

作者： Ming Wang Yanlu Zhang Huifang Dong Xu Li Junzhi Yu Department of Information and Electrical Engineering University of Shandong Jianzhu University Jinan China Department of Intelligent Robotics State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Robot plays an increasingly important role in daily life. This paper presents a vision-based wheeled robot for playing Tetris. How to control the robot is elaborated at length in this paper. The robot adopted a KNR controller as its core controller. With a CCD sensor, it identified colored blocks, lines and the destination. All algorithms are programed with LabVIEW. The experiments and the contest validated the effectiveness of the proposed vision-based wheeled robot system.

关键词： Mobile robots Cameras Robot sensing systems Image color analysis Servomotors Robot kinematics

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Applicability analysis of bidding strategy in electricity market 3

Applicability analysis of bidding strategy in electricity ma...

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3rd International Conference on Mechanical, Electronic and Information Technology engineering, ICMITE 2017

作者： Zhou, Suyan Chen, Fei Qiao, Yahui Zhang, Wenzhe Zhang, Kaifeng Yuan, Kun Dai, Xuemei Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing210096 China Shanxi Electric Power Company Xi'an710082 China Hohai University Nanjing210098 China Chongqing Electric Power Company Chongqing404100 China

With the development of the electricity market, competition has been introduced in the generation side. It is the overall development trend of the electricity market reformulation to optimize the allocation of different resources through bidding. Therefore, it is significant to research the bidding strategies of the generation companies and the large consumers. This paper reviews the existing research methods of bidding strategy. According to the different market mechanisms, the market participators will choose different bidding strategies based on their own cases. We analyze the applicability of bidding strategies under the different conditions, and give suggestions on how to select bidding strategy for the different market participators under different conditions. © The Authors, published by EDP Sciences, 2017.

关键词： Power markets

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Solving Fokker-Planck equation using deep learning

arXiv

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arXiv 2019年

作者： Xu, Yong Zhang, Hao Li, Yongge Zhou, Kuang Liu, Qi Kurths, Jürgen Department of Applied Mathematics Northwestern Polytechnical University Xi’an710072 China MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical University Xi’an710072 China Department of Engineering Mechanics Northwestern Polytechnical University Xi’an710072 China Center for Mathematical Sciences School of Mathematics and Statistics HuazhongUniversity of Science and Technology Wuhan430074 China Potsdam Institute for Climate Impact Research Potsdam14412 Germany Department of Physics Humboldt University Berlin Berlin12489 Germany

The probability density function of stochastic differential equations is governed by the Fokker-Planck (FP) equation. A novel machine learning method is developed to solve the general FP equations based on deep neural networks. The proposed algorithm does not require any interpolation and coordinate transformation, which is different from the traditional numercial methods. The main novelty of this paper is that penalty factors are introduced to overcome the local optimization for the deep learning approach, and the corresponding setting rules are given. Meanwhile, we consider a normalization condition as a supervision condition to effectively avoid that the trial solution is zero. Several numerical examples are presented to illustrate performances of the proposed algorithm, including one- and two-dimensional systems. All the results suggest that the deep learning is quite feasible and effective to calculate the FP equation. Further, influences of the number of hidden layers, the penalty factors, and the optimization algorithm are discussed in detail. These results indicate that the performances of the machine learning technique can be improved through constructing the neural networks appropriately. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep neural networks

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Robust Disturbance Rejection in Repetitive-control System Based on Improved Equivalent-Input-Disturbance Approach 36

Robust Disturbance Rejection in Repetitive-Control System Ba...

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第36届中国控制会议

作者： Lan Zhou Jinhua She Changzhong Pan School of Information and Electrical Engineering Hunan University of Science and Technology School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

This paper concerns disturbance rejection for a repetitive-control system（RCS） with unknown time-varying uncertainties and nonlinearity. The design of the RCS is based on the concept of equivalent input disturbance（EID）. First, an EID estimator is constructed through a state observer with dynamic coefficient matrix that effectively estimates the total effect of the uncertainties and nonlinearity on the output of the plant. Next, a robust globally uniformly ultimately bounded stability condition for the EID-based RCS is derived in the form of a linear matrix inequality. Then, the methods of designing a modified repetitive controller, a state-feedback controller, and an EID estimator are explained. Finally, simulation results demonstrate the validity of the method.

关键词： Repetitive control Equivalent Input Disturbance Disturbance Rejecting Two-dimensional System Linear Matrix Inequality

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Sinter Product Rate Forecasting Based on T-S Fuzzy Model 36

Sinter Product Rate Forecasting Based on T-S Fuzzy Model

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第36届中国控制会议

作者： Qi Lei GaiWen Zhao Xin Chen Min Wu School of Information Science and Engineering Central South University School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Through the analysis of sintering process and the relationship between sintering thermal state and sinter product rate, this paper determines the key factors influencing the sinter product rate, and proposes a method of sinter product rate forecasting based on T-S fuzzy model. Based on the extraction of the characteristic parameters of the thermal state of sintering process, the input of the model is determined. Then, the antecedent and the consequent parameters of the forecasting model are identified by the fuzzy c-means(FCM) clustering algorithm and the recursive least squares method(RLS). Finally, the T-S fuzzy model for sinter product rate forecasting is obtained. The proposed forecasting method is of value through the analysis of the forecast ing results. The forecasting results are also compared with the support vector machine(SVM) and the back propagation neural network(BPNN) methods. The results show that the proposed T-S fuzzy model can effectively improve the precision of the sinter product rate forecasting.

关键词： Sinter Product Rate Forecasting T-S Fuzzy Model Fuzzy c-means Recursive Least Squares(RLS)

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Speed control of hydraulic elevator by using PID controller and self-tuning fuzzy PID controller

Speed control of hydraulic elevator by using PID controller ...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Xian Xu Qingling Wang Key Lab of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China

ISBN: (纸本)9781538629024

Hydraulic elevators are widely used in the world because of their simple structure, smooth running and comfortable ride, This paper presents a conventional PID controller and a self-tuning Fuzzy PID controller to control speed of elevator, their performance are compared by analyzing their step response curves, track-feature, error curves as well as ideal speed response curves. Simulation results show that Fuzzy PID controller has better control performance than the conventional PID controller. The modeling, control and simulation of the elevator system have been done using the software package MATLAB/SIMULINK.

关键词： Hydraulic systems Elevators Niobium Automobiles control systems Fuzzy logic Transfer functions

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Neural Network Adaptive Critic control With Disturbance Rejection 29

Neural Network Adaptive Critic Control With Disturbance Reje...

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第29届中国控制与决策会议

作者： Ding Wang Chaoxu Mu Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Computer and Control Engineering University of Chinese Academy of Sciences School of Electrical and Information Engineering Tianjin University School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509046584

A neural-network-based adaptive critic control method is established for continuous-time input-affine uncertain nonlinear systems to achieve disturbance *** present problem can be formulated as a two-player zero-sum differential game and the adaptive critic mechanism is employed to solve the minimax optimization problem.A neural network identifier is developed to reconstruct the unknown dynamical *** optimal control law and the worst-case disturbance law are designed by introducing and training a critic neural *** effectiveness of the present self-learning control method is also illustrated by a simulation experiment.

关键词： Adaptive critic control Adaptive dynamic programming Approximate dynamic programming Disturbance rejection Learning systems Neural networks Nonlinear control

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