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16th International Conference on Mechatronics Technology, ICMT 2012

作者： Liu, Xiang-Dong Cai, Chun-Xia Dong, Ning Qu, Yan Key Laboratory for Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China School of Automation Beijing Institute of Technology Beijing China Wu Zhou Engineering and Design Institute Beijing China

ISBN: (纸本)9787900769428

In this paper, the Bouc-Wen model widely used in describing hysteretic systems is applied to piezoelectric actuator (PEA) modelling and real-coded adaptive genetic algorithm (GA) is adopted to identify the model parameters simultaneously. By dynamically adjusting the crossover probability and mutation probability, adaptive genetic algorithm improves the performance of local convergence and premature convergence and enhances search speed and precision of the simple genetic algorithm. Then some experiments are conducted to verify the efficiency of the identification method with satisfactory parameter identification results.

关键词： Piezoelectric actuators

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A Navigation Map Building Algorithm using Refined RBPF-SLAM

A Navigation Map Building Algorithm using Refined RBPF-SLAM

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Mengyin Fu Hao Zhu Yi Yang Meiling Wang Zhihong Deng State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781467383196

This paper proposes a map building algorithm for navigation task of autonomous vehicle.A local 2D grid map is designed to convey three types of information(free space,obstacle and unknown).A refined RBPF-SLAM algorithm is established to build a large scale,accurate navigation *** obstacle information is excluded in the final map,which provides better performance in vehicle's online *** sets of experiments are carried out in two driving conditions,with one in urban traffic environment and the other in unstructured *** mapping and localization result testify the effectiveness of our algorithm.

关键词： frame A Navigation Map Building Algorithm using Refined RBPF-SLAM

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A quantitative performance evaluation index for image fusion: Normalized Perception Mutual Information

A quantitative performance evaluation index for image fusion...

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31st Chinese control Conference, CCC 2012

作者： Yan, Liping Liu, Yulei Xiao, Bo Xia, Yuanqing Fu, Mengyin School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9789881563811

Information entropy based criteria are analyzed and the Normalized Mutual Information(NMI) that is presented in the field of image registration is revised to Normalized Mutual Information Entropy (NMIE) to meet the need of the evaluation of image fusion algorithms. Then, through analysis to NMIE and some human perception based criteria, and by analyzing the essence of image fusion techniques systematically, a new index, Normalized Perception Mutual Information (NPMI), is defined in view of information transmission as well as edge preservation, and is used to evaluate the performance of image fusion algorithms. The experiments are done to three groups of images, namely, the remote sensing images corrupted by noises, the multifocus images and the medical images obtained by CT and MRI, respectively. Compared with other indices including the root mean square error (RMSE), space frequncy (SF), space visibility (SV), entropy, the collective cross entropy (CCE), information deviation (ID), and the edge information preservation value (EIPV), etc., NPMI is shown to be the only one that is effective in all the cases in the evaluation of the performances of the fused images or the image fusion algorithms, which illustrates the feasibility and effectiveness of the presented algorithm. © 2012 Chinese Assoc of Automati.

关键词： Image fusion

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Distributed auction-based coverage motion planning for multiple cooperative robots 8

Distributed auction-based coverage motion planning for multi...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Gao, Guanqiang Xin, Bin School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing100081 China

The multi-robot coverage motion planning (MCMP) problem refers to a typical task where every point of the target area must be covered by robots at least once. This paper designs a novel efficient offline algorithm to solve the MCMP problem, which is extended from the spiral-spanning tree coverage algorithm. A distributed auction mechanism is designed for the cooperative task allocation in the proposed algorithm. In this mechanism, each robot will be an auctioneer which chooses a suitable cell as an auction item form its neighbor vertexes and determines a winner robot. According to the connectedness and the balance of each robot’s graph, bidders will submit proper biddings to the auctioneer. After the auction processes, acceptable coverage trajectories can be planned rapidly. Computational experiments validate the effectiveness of the proposed MCMP algorithm. Meanwhile, the proposed algorithm is compared with the state-of-the-art algorithm named DARP. The comparative results show that the auction-based MCMP algorithm has apparent advantages in the running time and the makespans for large crowded configuration spaces. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Multipurpose robots

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Automatic design of hybrid optimizers based on particle swarm optimization and differential evolution 5

Automatic design of hybrid optimizers based on particle swar...

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5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Wang, Yipeng Xin, Bin School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing100081 China

Hybridization is termed as an efficient strategy to improve the performance of many optimizers, and the design of efficient hybrids for difficult optimization problems remains a challenging field. In this study, an automatic method is proposed to generate various hybrid optimizers based on particle swarm optimization and differential evolution for a given problem. Based on the unified framework for hybridization proposed in our recent work, the proposed method can provide plenty of hybrid optimizers for a specific problem with given parent optimizers. Besides, an approach which can provide the unified representation of different kinds of hybridization levels is developed. Moreover, all the generated hybrids are evaluated on the CEC2017 benchmark problems, and the results of the statistic analysis and the Wilcoxon's rank-sum tests demonstrate that the hybrid optimizer utilizing the hybridization strategy performs obviously better than the others on the test functions.

关键词： Particle swarm optimization (PSO)

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Model analysis and experimental research on hydraulic high-speed impact system 8

Model analysis and experimental research on hydraulic high-s...

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8th IEEE International Conference on Fluid Power and Mechatronics, FPM 2019

作者： Wang, Shoukun Shi, Mingxin Chen, Zhihua Beijing Institute of Technolog Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing China Key Laborator Yof Servo Motion System Drive and Control Ministry of Industry and Information Technology School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9781728103112

ISBN: (纸本)9781728103112

High-speed impact simulation test is an important test method to study the fatigue properties or limit parameters of materials. With the advantages of great impact energy, good program control and convenient test operation, hydraulic impact is widely used in high-speed impact field. A hydraulic high speed impact simulation system is designed in this paper, which uses high pressure accumulator to supply oil and converts hydraulic energy into impact energy through servo valve controlled cylinder system. This system can simulate dynamic change process of impact velocity and acceleration of projectile, and has impact angle adjustment and end buffer function. First, the composition and working principle of this hydraulic impact simulation system is introduced, as well as the analysis of the hydraulic impact mechanism. Second, the system dynamics model of servo valve controlled cylinder based on accumulator oil is built, and the simplified model and its basic characteristics are analyzed. Then, the Influences of various parameters in impact dynamic model on impact process are also discussed. Finally, the simulation system and physical prototype system of hydraulic impact is presented, the simulation and actual impact test data and corresponding analysis conclusions are also given. © 2019 IEEE.

关键词： Software testing

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Feasibility Evaluation and Application Practice of Distributed Photovoltaic Power Generation in Large Commercial Buildings 17th

Feasibility Evaluation and Application Practice of Distribut...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Sun, Liucun Lou, Zhongkai Li, Jingjing Su, Weijiang China Green Development Investment Group Co. Ltd. Beijing100010 China Key Laboratory for Intelligent Control and Decision on Complex Systems School of Automation Beijing Institute of Technology Beijing100029 China

ISBN: (纸本)9789819904075

Large commercial complex projects have the characteristics of large roof area and high electricity price, and the development of distributed photovoltaic power generation has great potential. In this paper, a feasibility evaluation model of distributed photovoltaic power generation in large commercial buildings is established from the aspects of solar energy resources, power generation, economics and environmental benefits. A commercial complex photovoltaic project in Jinan is used as an example. In the case of fully considering the project operating cost and environmental benefits, the feasibility of the project under different power consumption modes is analyzed. The research results show that the economy of large-scale commercial distributed photovoltaic power generation projects in class III solar resource areas such as Jinan is directly related to the power consumption mode. When the "spontaneous self-use" mode is adopted, the economic benefits of the project are good and the feasibility is strong;When the "excess electricity goes into the power grid" mode is adopted, the economic benefits gradually deteriorate with the increase of the proportion into the power grid, but considering the environmental protection benefits of photovoltaic power generation projects, it is still feasible;When the "full the power goes into the power grid" mode is adopted, the economic benefit is poor, and the project is basically not feasible. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Electric power utilization

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controlling mobile Spykee robot using Emotiv Neuro headset

Controlling mobile Spykee robot using Emotiv Neuro headset

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32nd Chinese control Conference, CCC 2013

作者： Grude, Simon Freeland, Matthew Yang, Chenguang Ma, Hongbin School of Computing and Mathematics University of Plymouth Plymouth PL4 8AA United Kingdom Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing 100081 China

ISBN: (纸本)9789881563835

This paper investigates controlling the commercialized Spykee mobile robot, using only brain electroencephalography (EEG) signals transmitted by the Emotiv Epoc Neuro Headset. The Spykee robot is equipped with a wireless communication protocol to control it. Both visualization and motor control methods have been carried out and analyzed in order to control the robot with accuracy. All the fourteen channels on the Emotiv headset have been utilized and the pattern recognition has been done by the echo state network (ESN). Four different actions (moving forward/backward and turning left/right) have been achieved to control the robot reaching an arbitrary target on the floor. © 2013 TCCT, CAA.

关键词： Electroencephalography

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Performance analysis of networked predictive control systems with data dropout

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Optimal control Applications and Methods 2013年第6期34卷 742-756页

作者： Xia, Yuanqing Xie, Wen Zhu, Zheng Wang, Ge Wang, Xiaoyun School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

This paper is concerned with the design of networked control systems with random network data dropout. It presents a new control scheme, which is termed networked predictive control. This scheme mainly consists of the control prediction generator and network data dropout compensator. Besides, the control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance, and the network data dropout compensator removes the effects of the network transmission data dropout. Simulation results are presented to illustrate the effectiveness of the control strategy via comparing with other three existing control schemes. Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.

关键词： Networked control systems

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Analysis of security in cyber-physical systems

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Science China. Technological Sciences 2017年第12期60卷 1975-1977页

作者： Chen Jie Zhang Fan Sun Jian School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081

In recent years, cyber-physical systems (CPSs) have received much attention from both the academic world and the industrial world, which refer to a deep integration and coordination of physical and computational resources [1,2]. Typical examples of CPSs can be found in smart grids, smart transportation systems, industrial control systems, water supply systems, and so on. Furthermore, many military systems are also CPSs. The key characteristic of CPSs is the integration of computing, control and communication. The increased interconnection between the cyber and physical spaces make CPSs vulnerable to various malicious attacks. A well-known example of an attack of CPSs is the Stuxnet which infected the control system of nuclear-fuel centrifuges of Bushehr nuclear power plant in Iran. Stuxnet makes people beware of the grave consequences of a cyber-attack on a CPS. Since many national critical infrastructures are applications of CPS, ensuring security and safety of such systems is of great importance.

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