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1st Annual International EOS/ESD Symposium on Design and system, IEDS 2020

作者： Yang, Zhaonian Zhang, Yibo Mao, Pan Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China

ISBN: (纸本)9781585373284

This paper presents a new ESD clamp circuit which is co-triggered by RC and diode. It is immune to the false triggering caused by fast power-up events due to the diode detection mechanism. With the addition of a common source amplifier, the detection signal is enhanced, and the clamp device is turned on more quickly. The proposed circuit is designed in a 0.18 μm 1.8-V CMOS process and verified by numerical simulation. The characteristics and improvements of the new circuit are discussed. © 2021 EOS/ESD ASSOCIATION INC.

关键词： Diodes

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Combined complete coverage path planning for autonomous mobile robot in indoor environment

Combined complete coverage path planning for autonomous mobi...

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2009 7th Asian control Conference, ASCC 2009

作者： Yutian, Mao Lihua, Dou Jie, Chen Hao, Fang Haiqiang, Zhang Hu, Cao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing 100081 China

ISBN: (纸本)9788995605691

Complete coverage path planning is a key problem for autonomous mobile robot, which concerns both efficiency and completeness of coverage. This paper proposed a novel strategy of combined coverage path planning method, which combines the template-based and the heuristic coverage path planning. The template-based mode allows the robot to run under some predefined motion templates which can realize the completeness of coverage, the heuristic complete coverage algorithm works out an optimal path by heuristic search that can improve the coverage efficiency. All these functions can be carried out with the low-cost general hardware : the ultrasonic sensors, incremental encoders, DC motors, etc. Finally numerical simulations and experiments verify the effectiveness of the method. ©2009 ACA.

关键词： DC motors

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Resident electric vehicles charging optimization strategy in the smart grid 34

Resident electric vehicles charging optimization strategy in...

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34th Chinese control Conference, CCC 2015

作者： Ruiqin, Duan Zhongjing, Ma School of Automation Beijing Institute of Technology National Key Laboratory of Complex System Intelligent Control and Decision Beijing China

ISBN: (纸本)9789881563897

Considering the stochastic nature of electric vehicles (EVs) charging activities, this paper is dedicated to schedule the resident EVs charging load in the smart grid. Three important factors of the EV charging process are taken into account and studied, including the characteristics of EV battery, the start time of EV charging and the initial state-of-charging (SOC) of EV battery. We present a resident EVs charging optimization scheduling strategy to minimize the variation of total power load in the specified time period. And then we propose an approximate evaluation method for the corresponding optimization problem. The simulation results illustrate that the proposed EVs charging scheduling strategy will reduce the total power load curve difference of peak and valley, and the proposed method is very promising to improve the daily load profile of power system. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electric vehicle Optimization scheduling Probability model Smart grid

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An improved adaptive exponential time-varying sliding-mode control for FDRPMSM 7

An improved adaptive exponential time-varying sliding-mode c...

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7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016

作者： Dong, Ning Xie, Wei Chen, Zhen Zhao, Jing Liu, Xiangdong Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Haidian District Beijing100081 China

ISBN: (纸本)9784990534349

In this paper, an improved adaptive time-varying sliding mode controller (SMC) is designed for five-phase dual-rotor permanent magnet synchronous motor (FDRPMSM). It focuses on three objectives: 1) maintaining the high tracking performance to the reference speed;2) keeping robustness when load torque varies;3) chattering suppression performance *** FDRPMSM is adopted hysteresis-current controlled PWM, thus, the proposed controller is designed for speed controller. This controller is proposed to solve the problem that suppressing the chattering when system state is near the sliding-mode hyper *** order to weaken influence of load torque varying, the load torque observer is introduced in the control system. Simulation results show that the proposed speed controller have better performances and robustness characteristics comparing with PI controller and conventional exponential time-varying SMC. © 2016, Fuji technology Press. All rights reserved.

关键词： controllers

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Generating infrared image from visible image using Generative Adversarial Networks

Generating infrared image from visible image using Generativ...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： An, Lei Zhao, Jiajia Di, Huijun Beijing Institute of Technology School of Computer Science and Technology Beijing China Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Coorperation Laboratory Beijing China

ISBN: (纸本)9781728137926

Infrared images have properties that are unaffected by illumination compared to visible images, object can be clearly recognized at day or night. Therefore, it is a better choice to use infrared images when training deep learning algorithms in unmanned systems. However, how to obtain a large number of infrared images makes it possible to train deep learning algorithm, which is the focus of our attention. In contrast to difficulties in direct shooting, computer simulations can generate large infrared images from visible images. But models that are trained on simulated data usually do not translate well to real scenarios. To bridge the domain gap between simulated and real infrared images, we exploit recent advances in paired image-to-image translation. We extend Pixel2Pixel to generate infrared image from visible image and propose a novel way of multilayer semantic information fusion, which significantly improves the quality of generated images. Finally, the image generated by our proposed PixelPro network is almost consistent with the real image distribution, achieved the purpose of expanding the dataset. © 2019 IEEE.

关键词： Generative adversarial networks

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Fault-Tolerant Cooperative Motion Planning of Connected and Automated Vehicles at a Signal-Free and Lane-Free Intersection

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IFAC-PapersOnLine 2018年第24期51卷 60-67页

作者： Li, Bai Zhang, Youmin Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University Montreal Canada

Compared with a conventional intersection, a signal-free and lane-free intersection enables the vehicles to drive more flexibly, thereby to promote the throughput and to reduce congestions. This work proposes a fault-tolerant cooperative motion planning method for a number of connected and automated vehicles (CAVs) which are passing through a signal-free and lane-free intersection. Partial loss of actuator effectiveness is considered as the fault type. Even a subtle fault may significantly affect the overall team performance. Thus correctly judging whether each faulty/healthy CAV can still achieve its original goal is impossible until a corresponding motion replanning problem turns out to be solvable or not. To maximize the completeness of the original task, we propose a parallel computation framework, wherein the fault-recovery motion replanning problems in multiple levels of task completeness are tried simultaneously. Concretely, i) each faulty/healthy CAV should accomplish its original goal; ii) only each healthy CAV is required to accomplish its original goal; and iii) all the faulty/healthy CAVs try to stop safely without the need to achieve any original goals. Problems iii), ii), and i) are ranking with increasing computational difficulty. Among all the three problems, the achievable solution to the most difficult one is implemented as the fault-recovery strategy. © 2018

关键词： Motion planning Automation Fault tolerance Vehicles Automated vehicles Co operative control connected Intersection managements Optimal controls

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A Positioning Algorithm of Autonomous Car Based on Map-matching and Environmental Perception 33

A Positioning Algorithm of Autonomous Car Based on Map-match...

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第三十三届中国控制会议

作者： XU Qian WANG Meiling DU Zhifang ZHANG Yi School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System Chongqing Jialing Huaguang Photoelectric Technology Co.Ltd.

ISBN: (纸本)9789881563842

Autonomous car is an important tool for transportation and military in the future,and its precise positioning is the basis of autonomous *** positioning algorithms based on map-matching for autonomous car make little use of environmental perception *** solve this problem,a positioning algorithm is proposed in this paper,which is based on map-matching and environmental perception for autonomous *** algorithm includes macroscopic road matching and microscopic precise *** for macroscopic road matching,the algorithm makes use of computational geometry to match the position of autonomous car to the corresponding road,based on GPS point and map information of the road *** for microscopic precise positioning,the algorithm makes use of the environmental perception,which is detected by the autonomous car to make precise *** road matching provides matching road to microscopic precise positioning,and microscopic precise positioning eliminates gross error produced in macroscopic road *** real car tests,the algorithm can match map quickly,improving the positioning precision with strong real-time.

关键词： Autonomous car,Map-matching,Environmental perception,Computational geometry

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Distributed motion coordination for multi-agent systems with connectivity maintenance using backbone-based networks

Distributed motion coordination for multi-agent systems with...

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作者： Mao, Yutian Dou, Lihua Fang, Hao Liu, Huagang Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9783902661937

This paper addresses the problem of distributed connectivity constrained motion coordination of multiple autonomous mobile agents. Different from traditional flat network structure which lacks flexibility and scalability when performing complex spatially distributed tasks, a novel distributed framework for construction of backbone-based hierarchical communication networks is proposed. Firstly, the proposed method periodically extracts a subset of agents which can form the communication backbone from the original network using only local information, thus partitions the system into backbone agents and non-backbone agents. Furthermore, the global network connectivity of the system is maintained at two levels: connectivity-preserving potential functions are used to maintain existing links in the backbone;connectivity between backbone and non-backbone agents is achieved via a leaderfollower formation control scheme with backbone agents as the leaders. Finally, nontrivial numerical simulations are worked out to verify the theoretical results. © 2011 IFAC.

关键词： Multi agent systems

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Content based image retrieval via sparse representation and feature fusion 8

Content based image retrieval via sparse representation and ...

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8th IEEE Data Driven control and Learning systems Conference, DDCLS 2019

作者： Liu, Han Wang, Wenqing Jiao, Pengfei Shanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'An University of Technology Xi'an710048 China

ISBN: (纸本)9781728114545

During the last two decades, content-based image retrieval (CBIR) has been widely studied. The limitations of low-level feature representation of images have been a thorny issue in image retrieval problems. In this paper, a CBIR algorithm based on sparse representation and feature fusion is proposed, in which global features and local features are combined to retrieve the images. Firstly, the GIST features are used to roughly retrieve the images with similar scene information by measuring Canberra distance. Then, a representation of the local features extracted from the rough retrieval results is obtained by sparse coding and feature pooling. Finally, Euclidean distance is used to measure the similarity of the sparse feature vectors to obtain the retrieval results. The proposed method is tested on the Coil20 and Caltech256 image datasets. The experimental results demonstrate that the proposed algorithm can achieve comparable superior retrieval performance to the existing single feature-based image retrieval algorithms. © 2019 IEEE.

关键词： Image fusion

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Speed sensorless control with neuron MRAS estimator of an induction machine

Speed sensorless control with neuron MRAS estimator of an in...

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7th International Conference on Power Electronics and Drive systems, PEDS 2007

作者： Lei, Dong Dong, Yang Xiaozhong, Liao Department of Automatic Control Engineering Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)1424406455

In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MRAS) for speed estimation are used to improve the performance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved performance in low speed range. © 2007 IEEE.

关键词： Induction machine

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