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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Li, Jun Zhou, Mengchu Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering China Ministry of Education Automation School of Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

Supervisory control reconfiguration has been paid more attention due to its capacity of handling the uncertainties including resource failures, capability degradation, and task changes in discrete event systems. However, the robustness of closed-loop systems in response to some specification changes was not addressed in the prior studies. This paper presents a reconfiguration method based on Petri nets and integer programming for supervisory control of resource allocation systems with changeable resource allocation relationships (control specifications). First, we propose a reconfiguration mechanism. It updates the P-invariant-based supervisor and evolves the state of the closed-loop system. The latter adapts to the certain changes in specifications by the self-regulation of the closed-loop system's state. It utilizes fully the robustness in a closed-loop system and avoids unnecessary modification of a supervisor. Then, a reconfiguration model with robustness analysis is proposed based on integer programming. By using it, a firing sequence of transitions as a serial of reconfiguration actions can be found. The execution of the sequence implements the state evolution of a closed-loop system. There is no need for making additional efforts to analyze state reachability of the system, since the firability condition of transitions is incorporated into the model. Finally, the method is illustrated through an example of a hospital emergency service system. © 2013 IEEE.

关键词： Closed loop systems

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AHP effectiveness evaluation of electronic warfare command and control system under complex electromagnetic environment

AHP effectiveness evaluation of electronic warfare command a...

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4th International Conference on Materials Science and Information Technology, MSIT 2014

作者： Wang, Guo-Sheng Qi, Zong-Feng The State Key Lab. of Complex Electromagnetic Envi. Effects on Electronics and Information System Luoyang 471003 China Department of Control Engineering Academy of Armored Forces Engineering Beijing 100072 China

ISBN: (纸本)9783038351733

The effectiveness evaluation problem of electronic warfare command and control system (EWCCS) under complex electromagnetic environment is investigated by using the analytic hierarchy process (AHP) method. First, the evaluation hierarchy structures of EWCCS under complex electromagnetic environment are put forward and can be classified into target hierarchy, rule hierarchy and scheme hierarchy. Then, the AHP Algorithm is given as a preliminary knowledge to evaluate the effectiveness evaluation of EWCCS under complex electromagnetic environment. Finally, an effectiveness evaluation example of EWCCS under complex electromagnetic environment is considered by using AHP Algorithm. © (2014) Trans Tech Publications, Switzerland.

关键词： Analytic hierarchy process

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Hybrid genetic-ant colony algorithm based job scheduling method research of arc welding robot

Hybrid genetic-ant colony algorithm based job scheduling met...

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International Conference on Information and Automation (ICIA)

作者： Zhengda Meng Qinqi Chen Key Lab of Measurement and Control of Complex System of Engineering Ministry of Education School of Automation South-East University Nanjing China

ISBN: (纸本)9781424457014

Research of job scheduling methods of arc welding robot is focused in this paper. The job scheduling of arc welding robot is considered as a Traveling-salesman-Problem. Welding job scheduling is modeled and relevant job scheduling optimization methods are designed. Genetic algorithm and ant colony algorithm are applied to robot welding job scheduling first. Then, based on the characteristics of both algorithms, hybrid genetic ant colony algorithm is designed to improve optimization performance. With simulated weldment as the subject, genetic algorithm, ant colony algorithm and hybrid genetic ant colony algorithm are analyzed and compared by simulation. Validity of above methods is verified.

关键词： Scheduling algorithm Welding Robots Genetic algorithms Algorithm design and analysis Analytical models Optimization methods Design methodology Job design Ant colony optimization

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Large scale online kernel classification

Large scale online kernel classification

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Wang, Jialei Hoi, Steven C.H. Zhao, Peilin Zhuang, Jinfeng Liu, Zhi-Yong School of Computer Engineering Nanyang Technological University Singapore Singapore Microsoft Corporation United States State Key Lab of Management and Control for Complex System Chinese Academy of Sciences China

ISBN: (纸本)9781577356332

In this work, we present a new framework for large scale online kernel classification, making kernel methods efficient and scalable for large-scale online learning tasks. Unlike the regular budget kernel online learning scheme that usually uses different strategies to bound the number of support vectors, our framework explores a functional approximation approach to approximating a kernel function/matrix in order to make the subsequent online learning task efficient and scalable. Specifically, we present two different online kernel machine learning algorithms: (i) the Fourier Online Gradient Descent (FOGD) algorithm that applies the random Fourier features for approximating kernel functions;and (ii) the Nyström Online Gradient Descent (NOGD) algorithm that applies the Nyström method to approximate large kernel matrices. We offer theoretical analysis of the proposed algorithms, and conduct experiments for large-scale online classification tasks with some data set of over 1 million instances. Our encouraging results validate the effectiveness and efficiency of the proposed algorithms, making them potentially more practical than the family of existing budget kernel online learning approaches.

关键词： Budget control

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Design and implementation of a non-contact magnetic field measurement based fault location system for overhead transmission line

Design and implementation of a non-contact magnetic field me...

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2013 IEEE International Conference on Smart Instrumentation, measurement and Applications, ICSIMA 2013

作者： Huang, Qi Yao, Ruoting Li, Fuchao Zhen, Wei Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control School of Energy Science and Engineering UESTC Chengdu China Sichuan Electric Power Research Institute Chengdu China

ISBN: (纸本)9781479908431

As the rapid development MEMS (micro-electromechanical systems) packaging technology and magnetoresistance material technology, MR (magnetoresistive) sensors based on magnetoresistance effect which can carry out point measurement of magnetic field may change the measurement techniques in power systems. The currently available fault location of overhead transmission line approaches are mainly based on traveling-wave technique and impedance-based measurement technique. The novel approach based on non-contact measurement of magnetic field is advantageous over traditional approaches in that it is independent of the distributed line parameters and has a location error smaller than one span. In this paper, after a brief reviewing of the whole system architecture, design of a sensor prototype and the associated monitoring software are presented, and tests are performed to verify the functionalities of the designed system. The sensor is developed based on a 3-D AMR (anisotropic magnetoresistance) sensor and the software supports GIS interface, making the fault location intuitively clear and convenient. © 2013 IEEE.

关键词： Location

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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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Induction motor flux estimation based on Artificial Neural Network left-inversion

Induction motor flux estimation based on Artificial Neural N...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Hao Zhang Xianzhong Dai Key Laboratory of Measurement and Control of Complex system of Engineering Ministry of Education South-East University Nanjing China

This paper presents a new rotor flux estimation algorithm using neural network for induction motor, based on the left-inversion method. Using the standard fifth-order model of the three-phase induction motor in a stationary two axes reference frame, the flux ldquoassumed inherent sensorrdquo is constructed and its left-invertible is validated. The artificial neural network (ANN) left-inversion flux estimator is composed of two relatively independent parts - a static ANN used to approximate the complex nonlinear function and several differentiators used to represent its dynamic behaviors, so that the ANN left-inversion is a special kind of dynamic ANN in essence. The performance of the proposed algorithm is tested through simulation and experiment, proving good behavior in both transient and steady-state operating conditions.

关键词： Induction motors Artificial neural networks Rotors Stators Equations Voltage Inductance Sensor systems Electrical resistance measurement laboratories

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Stator Flux Oriented control with Improved Integrator for Speed-Sensorless Induction Motor Drives

Stator Flux Oriented Control with Improved Integrator for Sp...

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International Conference on E-Product E-Service and E-Entertainment

作者： Hao Zhang Xianzhong Dai Key Laboratory of Measurement and Control of Complex system of Engineering Ministry of Education South-East University Nanjing China

ISBN: (纸本)9781424471591

This paper presents a speed-sensorless control algorithm for induction motors, based on the stator flux-oriented control. The algorithm has the advantage of insensitivity to rotor parameters and load varying, stator flux and rotor speed is closed loop controlled respectively. The main improvement is that stator flux is estimated based on a modified integrator which is developed to solve the problems associated with pure integrator. The performance of the proposed algorithm is verified using a dSPACE system with DS1103 controller board based on the digital signal processor (DSP) TMS320F240. The experimental results show the estimated speed is true of exactly actual speed and good behavior of the drive in both transient and steady state low-speed operating conditions is proved.

关键词： Stators Rotors Induction motors Inductance Resistance Observers

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Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space

arXiv

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arXiv 2021年

作者： Wu, Lin Wang, Teng Sun, Changyin School of Automation Key Laboratory of Measurement Control of Complex System of Engineering Southeast University Nanjing210096 China

Visual place recognition is one of the essential and challenging problems in the fields of robotics. In this letter, we for the first time explore the use of multi-modal fusion of semantic and visual modalities in dynamics-invariant space to improve place recognition in dynamic environments. We achieve this by first designing a novel deep learning architecture to generate the static semantic segmentation and recover the static image directly from the corresponding dynamic image. We then innovatively leverage the spatial-pyramid-matching model to encode the static semantic segmentation into feature vectors. In parallel, the static image is encoded using the popular Bag-of-words model. On the basis of the above multi-modal features, we finally measure the similarity between the query image and target landmark by the joint similarity of their semantic and visual codes. Extensive experiments demonstrate the effectiveness and robustness of the proposed approach for place recognition in dynamic environments. © 2021, CC BY.

关键词： Semantics

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Lightweight Vision Transformer for Small Data Sets 38

Lightweight Vision Transformer for Small Data Sets

引用

38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Fang, Wenxing Su, Yanxu Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei230601 China Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9798350303636

With the rapid development of Transformers in the field of computer vision, models based on Transformers have become highly competitive architectures in the area. Although variants of Transformer models have achieved increasing accuracy on image classification tasks, the size of the training set and the number of parameters required by the models have increased dramatically. When dealing with small datasets, such models face problems such as overfitting and undergeneralization, leading to poor accuracy on the test set. We propose a new lightweight vision transformer (LVT) to address these issues. We reconstructed the backbone network, which learns the relationship between pixels through local window self-attention and global self-attention computation. We also use the attention pooling approach to fuse the token sequences generated by the backbone network more meticulously. We trained on the CIFAR-10 and CIFAR-100 datasets from scratch and compared them with a modern convolutional neural network. The experimental results show that LVT outperforms the modern convolutional neural network in terms of accuracy and efficiency. On the test set of CIFAR-10, we have obtained an accuracy of 96.83%, which indicates that our model can effectively solve the problems facing the training of small datasets and has a wide range of application prospects. © 2023 IEEE.

关键词： lightweight pooling self-attention windows

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