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Annual Conference of the IEEE Industrial Electronics Society

作者： Man Hao Weihua Cao Min Wu Zhentao Liu Jin-Hua She Luefeng Chen Ri Zhang School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology Tokyo Japan

To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental factors which are associated with personal intentions are collected. Secondly, users' intention and desire degree for intention are obtained by an improved Fuzzy-Context-specific Intention Inference method. Then the relationship between personal intention and human demands is established by an initiative service model. Finally, robots provide drinking water service initiatively according to humans' demands. Drinking service experiments are performed in a laboratory scenario using a humans-robots interaction system. The experimental results show that the drinking time of actual situation lags behind the initiative service time 25 minutes on average, and the initiative service renders drinking service 2 times more than actual situation on average, which demonstrates the feasibility of the proposal. In prospect, the initiative service method could be applied to many occasions in our daily life, e.g., family service, caring for the elderly, and medical rehabilitation.

关键词： Service robots Temperature Environmental factors Humidity Correlation

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An SNR-Adaptive Relaying Algorithm for Multi-Antenna Cooperative Networks

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China Communications 2017年第10期14卷 228-236页

作者： Shuangshuang Han Peng Zhang Feijin Shi Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of SciencesBeijing China Qingdao Academy of Intelligent Industries Qingdao Shandong Province China The School of Computer Engineering Weifang University Shandong P. R. China Communications Headquarters Ministry of Foreign Affairs of the People's Republic of China Beijing China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha China

Multiple-input multiple-output(MIMO) and cooperative communications have been attracted great attention for the improvements of communication capacity, power consumption, and transmission coverage. The conventional fixed relaying protocols, amplify-and-forward(AF) and decode-and-forward(DF), have their own advantages and disadvantages, i.e. AF performs better than DF for low signal-to-noise ratio(SNR) region, while the reverse is true for high SNR region. Therefore, this paper proposes an SNR-adaptive forward(SAF) relaying scheme obtaining the advantages of both AF and DF. Furthermore, the proposed SAF does not need to switch between AF and DF when SNR changes. The main idea is to adaptively derive the soft information at the cooperative relay nodes based on the information of the received signal and the SNR. Besides, based on the theoretical analysis and the simulation results, it is affirmed that the proposed SAF achieves superior performance than both AF and DF for all SNRs. Moreover, the performance gain would be improved with the increasing number of parallel cooperative relay nodes.

关键词： MIMO SNR SNR-adaptive forward multi-antenna

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A fast test and compensation system for optical encoders based on extreme learning machine — Fourier Neural Network

A fast test and compensation system for optical encoders bas...

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

作者： Jiachen Zhao Jie Chen Fang Deng Hongda Li Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing China School of Automation Beijing Institute of Technology BeiJing

ISBN: (纸本)9781538629024

This paper describes fast test and compensation system for optical encoders. The resolution of system is 0.375", and it can measure the actual accuracy of an optical encoder in four minutes. Furthermore, a method called Extreme Learning Machine - Fourier Neural Network (ELM-FNN) are proposed to compensate the error. Fourier neural network (FNN) is chosen to fit the curve of the optical encoder's output, and the weights of FNN is calculated by Extreme Learning Machine (ELM). Experimental results demonstrate that ELM-FNN effectively improve the accuracy of the optical encoder. Compared to a back propagation neural network (BP net) and a standard FNN, ELM-FNN has advantages of higher accuracy and less training time.

关键词： Adaptive optics Optical computing Optical variables measurement Optical sensors Neural networks Ultraviolet sources Training

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A Stick-Slip Vibration Suppression Method for the Drillstring System Based on Neutral Type Model

A Stick-Slip Vibration Suppression Method for the Drillstrin...

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Asian control Conference

作者： Jun Cheng Min Wu Chengda Lu Luefeng Chen Xin Chen Weihua Cao Xuzhi Lai School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Swinburne University of Technology Melbourne VIC Australia

ISBN: (纸本)9781509015740;9781509015733

A controller is proposed based on the equivalent input disturbance (EID) method to suppress the stick-slip vibration of the drilling process. The drillstring system is described by a neutral type model with unknown disturbances, where the unknown disturbances are mainly nonlinear bit-rock reaction. The core idea of this approach is to use EID to suppress a variety of external disturbances and the impact caused by the state delay of the neutral type model. The main advantage of our method is that the controller does not depend on the specific disturbance model, which is of great significance for the suppression control of stick-slip vibration in complex stratigraphic environment. Moreover, our method is applicable to more general neutral type systems. The simulation was carried out to eliminate stick-slip vibration quickly and verify the effectiveness of the proposed method.

关键词： Vibrations Mathematical model control systems Delays Stability analysis Geology Damping

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Cooperative transportation control of multiple mobile manipulators through distributed optimization

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Science China. Information Sciences 2018年第12期61卷 120201-1--120201-1--120201-17页

作者： Chen Jie Kai Shixiong School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex SystemsMOE Beijing 100081

This paper investigates the problem of distributed control of multiple redundant mobile manipulators to collectively transport an object tracking a desired trajectory with energy and manipulability optimized. To solve this optimization problem, formation control tasks are introduced as equality constraints with the variables being the velocities. In this paper, we propose a distributed proximal gradient algorithm searching for the optimal solution, with which the stability of the closed-loop system is proved. Simulations demonstrate the effectiveness of the proposed distributed optimization scheme and proximal algorithm.

关键词： multiple mobile manipulators cooperative transportation control motion planning energy and manipulability distributed optimization

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Two-layer Fuzzy Kernel Regression for Human Emotional Intention Understanding

Two-layer Fuzzy Kernel Regression for Human Emotional Intent...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Luefeng Chen Mengtian Zhou Min Wu Jinhua She Kaoru Hirota School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei China School of Engineering Tokyo University of Technology Tokyo Japan Tokyo Institute of Technology Beijing Institute of Technology Yokohama Japan

A two-layer fuzzy kernel regression (TLFKR) model is proposed for understanding human emotional intention in human-robot interaction, where TLFKR model consists of two layers, including fuzzy c-means (FCM) with kernel ridge regression (Kernel 1) for information analysis layer, fuzzy support vector regressions (FSVR) (Kernel 2) for intention understanding layer. TLFKR model represents the weight impact for each emotional information and aims to improve smooth human-robot interaction by endowing robot with human emotional intention understanding capability. Experimental Results show that the proposal obtains an intention understanding accuracy of 65.67%/68.33%/80.67% with the clusters number c=2/3/6 (according to different genders/ages/nationalities), which are 7.34%/7.18%/8.67% and 18.67%/21.33%/33.67% higher than that of TLFSVR and SVR, respectively. Additionally, preliminary application experiments are performed in the developing emotional social robot system, where two mobile robots and volunteers experience a scenario of "drinking at a bar", and social robots are able to express basic emotions and understand human order intention.

关键词： Kernel Robots Training Support vector machines Proposals Information analysis Bars

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The Forecasting Research on the Model of the Hysteresis Brake based on Elman Multi-Hidden Layers Neural Network Algorithm with the Speed and Directional Factor 35

The Forecasting Research on the Model of the Hysteresis Brak...

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第35届中国控制会议

作者： ZHANG Bo SHEN Wei WANG Junzheng Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

Hysteresis brake,which provides for step-less torque and high speed,is a stable and reliable device used for loading,but with some problems,such as the large time-lag,strong nonlinearity,and difficulty in modeling et *** to the above-mentioned issues,the special working conditions of hysteresis brake developed by our project team and the advantage of the dynamical performance of the Elman Multi-Hidden Layers Neural Network,this paper employs modified neural network algorithm with Elman dynamic recursive structure to accomplish the model of hysteresis brake,and guarantees the accuracy of output loaded *** this algorithm,we introduce the speed,the given and desired torque,and a directivity factor respectively as a disturbance variable and two input vectors of the system,and then train the model and *** numerical results validate the effectiveness of the algorithm proposed.

关键词： Hysteresis brake strong nonlinearity neural network algorithm with Elman dynamic recursive structure

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Performance control System of Dulcimer Music-Playing Robot

Performance Control System of Dulcimer Music-Playing Robot

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Asian control Conference

作者： Ting Fei Xin Chen Chen-Xu Jiang Li Zhou Zhen-Tao Liu School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Arts and Communication China University of Geosciences Wuhan China

ISBN: (纸本)9781509015740;9781509015733

Music-playing robots have been gradually applied to art performance, music education and so on. This paper introduces a special robot playing dulcimer, a kind of Chinese traditional musical instrument. With mechanical characteristics taken into accounted, an assignment method of performance task and an inverse kinematics control algorithm of redundant robot manipulators are proposed in this paper. Based on these studies, a performance control system is developed, which can parse a given MIDI file, perform task allocation, and control the dual mechanical arms holding bamboo hammers to strike the strings of dulcimer. The experimental test shows that the performance control system is able to control the dulcimer music-playing robot to complete music performance in real-time in a humanized way.

关键词： Robot kinematics Manipulators Task analysis Kinematics control systems Instruments

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Multi-sensor optimal distributed weighted Kalman filter fusion over unreliable networks 35

Multi-sensor optimal distributed weighted Kalman filter fusi...

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第35届中国控制会议

作者： XING Zirui XIA Yuqing Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

This paper presents the problem of optimal distributed weighted Kalman filter fusion for a class of multi-sensor unreliable networked systems with uncorrelated *** distributed multi-sensor data fusion system suffers measurements delay or loss due to unreliability of networked systems with uncorrelated *** the addressed model,an optimal local Kalman filter with a finite buffer is derived for each subsystem,which can also be used as a centralized optimal Kalman filter fusion *** on the new optimal local Kalman filter,multi-sensor optimal distributed weighted Kalman filter fusion with finite buffers has been ***,compared with the centralized optimal Kalman filter fusion algorithm,the proposed distributed weighted Kalman filter fusion algorithm developed in this paper has stronger fault-tolerance *** results are provided to illustrate the effectiveness of the proposed approaches.

关键词： Multi-sensor unreliable networked systems Distributed weighted Kalman filter fusion Network delay Buffers

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Pursuit-evasion Games of Multi-players with a Single Faster Player 35

Pursuit-evasion Games of Multi-players with a Single Faster ...

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第35届中国控制会议

作者： WANG Duo PENG Zhihong School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781509009107

In this paper we formulate and solve a pursuit-evasion game in which a single faster player chases several evaders with the same properties. We analyze the optimal motion strategies of the both sides by using the theory of differential games, which helps simplify computation complexity and meet an ideal result. We discuss the situation of one faster pursuer and one evader under some basic assumptions in which the amount of evaders increases by steps in the full visibility case. We apply the task allocation method to simulate the optimal motion track in both fixed sequence capture mode and free sequence capture mode of the pursuer. The optimal motion strategies acquired by differential games theory respond faster than those acquired in traditional ways. We prove all the chase process discussed with differential games by MATLAB simulation.

关键词： differential games pursuit-evasion game optimal strategy capture sequence

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