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第37届中国控制会议

作者： Xiaofei Zhang Hongbin Ma Zhuang Li Wenchao Zao School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

With the development of aeronautics and astronautics, the response speed of servo system need be faster. First, In order to improve the dynamic quality of servo system, the exponential and power reaching law, which combines the advantages of the exponential reaching law and the power reaching law, is introduced. Second, the chattering of the sliding mode controller（SMC） with the exponential and power reaching law for discrete systems is investigated. Finally, the adaptive sliding mode controller（ASMC） with the exponential and power reaching law is introduced. The stability of the ASMC with the exponential and power reaching law for discrete systems is analyzed, and the simulation of this approach on one joint of a six degrees of freedom robot is carried out. The experimental results indicate that the ASMC with the exponential and power reaching law is effective in reducing the time of arriving the sliding mode surface. The experimental results also indicate that the ASMC with the exponential and power reaching law may make output error reach zero in a shorter time.

关键词： adaptive sliding mode controller reaching law

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Position control of a Planar Four-Link Underactuated Manipulator

Position Control of a Planar Four-Link Underactuated Manipul...

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Chinese control Conference (CCC)

作者： Dong Liu Xuzhi Lai Yawu Wang Xiongbo Wan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

A position control strategy by employing the model reduction and the cascade transformation is proposed for a planar four-link AAPA (Active-Active-Passive-Active) underactuated manipulator in this paper. First, a dynamics model of the system is built. Next, three controllers are designed based on the Lyapunov function to control the fourth active link from any initial angle to zero while the angles of the first and second active link remain their initial values, which makes the system is reduced to a planar virtual three-link AAP (Active-Active-Passive) underactuated manipulator. Then, we obtain the new inputs of the cascade system of the planar virtual three-link AAP underactuated manipulator. Finally, we can get the controllers of the active links to realize the system position control objective. Simulation results demonstrate the validity of the proposed control strategy.

关键词： Lyapunov methods Manipulator dynamics Position control Mathematical model Transmission line matrix methods Automation

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A General 6-DOF Industrial Robot Arm control System Based on Linux and FPGA

A General 6-DOF Industrial Robot Arm Control System Based on...

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第30届中国控制与决策会议

作者： Cong Han Hongbin Ma Wenchao Zuo Sunjie Chen Xinghong Zhang School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

This paper presents a general six degrees of freedom(6-DOF) robot arm control system based on Linux and field-programmable gate array(FPGA).The system provides a friendly human-computer interaction *** can complete palletizing,handling and other processes through simple programming of the interactive *** adopt industrial personal computer(IPC) as the controller to accomplish the kinematics calculation,design motion control board connected with the controller and the servo system,and use the servo system to implement the motion of the robot *** kinematics calculation and trajectory generation based on cubic polynomial are developed based on the Linux system,which improves the portability of the *** a normal method is adopted in updating trajectory points to improve *** control board is designed based on FPGA,which with the characteristic of parallel computing raises the running speed of the robot arm.

关键词： 6-DOF industrial robot arm control system human-machine interaction Linux FPGA

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Improved Kriging for Drilling Visualization Based on Quantum Genetic Algorithm

Improved Kriging for Drilling Visualization Based on Quantum...

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Chinese control Conference

作者： Zheng Zhang Xuzhi Lai Min Wu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

To realize drilling visualization, an effective interpolation method is essential to construct three-dimensional model. Kriging is an effective interpolation method commonly used by geologists. However, the variogram model parameters in traditional Kriging have a certain subjectivity, which will influence the accuracy of interpolation. Quantum Genetic Algorithm (QGA) is introduced to optimize the variogram model parameters selection in this paper. Elevation values of boreholes are used as data sets for simulation. The results show that the proposed improved Kriging has a better prediction accuracy.

关键词： Interpolation Biological cells Genetic algorithms Quantum computing Geology Solid modeling Data models

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Algebraic Connectivity Estimation Based on Decentralized Inverse Power Iteration

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Asian Journal of control 2017年第2期19卷 805-812页

作者： Wei, Yue Fang, Hao Chen, Jie Xin, Bin School of Automation Beijing Institute of Technology Beijing 100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

In this work, we propose a new scheme to estimate the algebraic connectivity of the graph describing the network topology of a multi-agent system. We consider network topologies modeled by undirected graphs. The main idea is to propose a new decentralized conjugate gradient algorithm and a decentralized compound inverse power iteration scheme. The matrix inversion computation in this scheme is replaced by solving the non-homogeneous linear equations relying on the proposed decentralized conjugate gradient algorithm. With this scheme, we can achieve a fast convergence rate in estimating the algebraic connectivity by setting the parameter μ properly. Simulation results demonstrate the effectiveness of the proposed scheme. © 2016 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： Network topology

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control Strategy Based on Iterative Method for Planar Pendubot

Control Strategy Based on Iterative Method for Planar Pendub...

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Chinese control Conference (CCC)

作者： Zixin Huang Xuzhi Lai Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

This paper presents a position control strategy based on the iterative method for a planar Pendubot. The control objective of the system is to move the end-point from any initial equilibrium point to a target equilibrium point. The presented method is based on the iterative steering, where a converging control law is applied repeatedly. In order to compute such a control law, the dynamic equations of the system are transformed via partial feedback linearization and nilpotent approximation. Finally, the simulation results demonstrate that the position control objective is realized by using this control strategy.

关键词： Mathematical model Iterative methods Position control Feedback linearization Manipulators Numerical models Switches

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control strategy based on differential evolution algorithm for planar second-order nonholonomic manipulator

Control strategy based on differential evolution algorithm f...

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Chinese control Conference (CCC)

作者： Yawu Wang Xuzhi Lai Pan Zhang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

This paper presents a two-stage position control strategy based on the differential evolution (DE) algorithm for a planar second-order nonholonomic manipulator, which has one passive joint and this passive joint is not the first joint (planar A m PA n manipulator for short, where m ≥ 1, n ≥ 0). An offline DE algorithm is used to calculate all link target angles corresponding to the target position. According to these target angles, a Lyapunov function is constructed to design the controllers A for the control stage 1, which are used to control all active links to their target angles. According to the constraint equation of the planar A m PA n manipulator, an oscillatory trajectory is planned for the first active link based on the online DE algorithm. When the first active link tracks the oscillatory trajectory, it will back to its target angle eventually. Meantime, the passive link will be jointly controlled to its target angle eventually. Then, the other Lyapunov function is constructed to design the controllers B for the control stage 2, which are used to control the first active link tracks the target trajectory and control the remaining m+n-1 active links maintain in their target angles. Simulation results of a planar AAPA manipulator demonstrate the effectiveness of the proposed control strategy.

关键词： Position control Trajectory Angular velocity Manipulator dynamics Mathematical model Lyapunov methods

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Multi-Convolution Neural Networks-Based Deep Learning Model for Emotion Understanding

Multi-Convolution Neural Networks-Based Deep Learning Model ...

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Chinese control Conference

作者： Luefeng Chen Min Wu Wanjuan Su Kaoru Hirota Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Tokyo Institute of Technology Yokohama Japan

Multi-convolution neural networks-based deep learning model in combination with multimodal data for emotion understanding is proposed, in which facial expression and body gesture are used to achieve emotional states recognition for emotion understanding. It aims to understand coexistence multimodal information in human-robot interaction by using multi-convolution neural networks, where multilayer convolutions are connected in series and multiple networks are executed in parallel. Moreover, when optimizing the weights of deep neural network by traditional method, it is easy to fall into poor local optimal. To address this problem, a hybrid genetic algorithm with stochastic gradient descent is developed, which has the capacity of inherent implicit parallelism and better global optimization of genetic algorithm so that it can adaptively find the better weights of the network. And in order to speed up the convergence of the proposal, the weights optimized by stochastic gradient descent will be taken as a chromosome of genetic algorithms initial population, and it also can be used as a priori knowledge. To verify the effectiveness of the proposal, experiments on benchmark database of spontaneous emotion expressions are developed, and experimental results show that the proposal outperforms the state-of-the-art methods. Meanwhile, the preliminary application experiments are also carried out and the results indicate that the proposal can be extended to human-robot interaction.

关键词： Feature extraction Genetic algorithms Biological cells Machine learning Sociology Statistics Neural networks

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Transaction Queuing Game in Bitcoin BlockChain

Transaction Queuing Game in Bitcoin BlockChain

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Li, Juanjuan Yuan, Yong Wang, Shuai Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China University of Chinese Academy of Sciences Beijing China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

ISBN: (纸本)9781538644522

Bitcoin is a novel protocol with the potential of enabling a decentralized and trustless cryptographic currency, and its underlying technology named blockchain operates on a worldwide basis via a complex set of rules originally proposed by Nakomoto in 2008. In Bitcoin blockchain, miners provide computational services (i.e. mining) to get profits from the fixed rewards of newly found block and also transaction fees from recording the users' transactions to the blocks. With the decreasing of the fixed new block reward, transaction fees will play the role as the main profit source of miners, thus provide important supports for the sustainability and vitality of the Bitcoin system. Therefore, it is of great necessity to research transaction fees. In this paper, we investigate transaction fees in a queuing game with non-preemptive priority, in which both the miners' mining rewards and the users' time cost are highlighted. Then, we conduct theoretical analysis of the game, getting five types of Nash equilibria of the game. We also find that the over-long waiting time will bring negative marginal profits on transaction fees to some users with low time cost, therefore, they will not be willing to offer transaction fees. © 2018 IEEE.

关键词： Miners

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A CUDA-Based Parallel Adaptive Dynamic Programming Algorithm 36

A CUDA-Based Parallel Adaptive Dynamic Programming Algorithm

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第36届中国控制会议

作者： Lu Li Xin Chen Wei Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Adaptive Dynamic Programming（ADP） with critic-actor architecture is a useful way to achieve online learning *** algorithm Gaussian-Kernel Adaptive Dynamic Programming（GK-ADP） that has been developed before has a kind of two-phase iteration,which not only approximates value function,but also optimizes hyper-parameters ***,just like most iteration algorithms are applied in practice,the scale of sample set will increase as the complexity of the system increases,and it will induce a high computation *** order to speed up computation,a practical acceleration method using parallel computation for GK-ADP is presented in this *** realize parallel computation,a high efficient configuration based on CUDA is designed,in which a group of GPUs work in parallel to compute the most complex part of *** comparison test illustrates that the computation burden which hinders GK-ADP’s application is reduced to a large extent when the parallel computing is introduced.

关键词： Gaussian-Kernel Adaptive Dynamic Programming CUDA Parallel Computing GPU

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