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Unsupervised robust adaptive filtering against impulsive noise

Journal of systems Engineering and Electronics 2012年第1期000卷

作者： Tao Ma Jie Chen Wenjie Chen and Zhihong Peng School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision(Ministry of Education) Beijing Institute of Technology Beijing 100081 P. R. China

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Electronic compass calibration based on Adaptive Differential Evolution Algorithm-Fourier Neural Network

Electronic compass calibration based on Adaptive Differentia...

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Chinese control Conference (CCC)

作者： Kun Gong Fang Deng Jie Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Ministry of Education Key Laboratory of Complex System Intelligent Control and Decision Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Beijing CN

Based on the comparison of several common methods of electronic compass error compensation, this paper presents a new error compensation method based on Adaptive Differential Evolution-Fourier Neural Networks (ADE-FNN) to improve the measurement accuracy of electronic compass. This method uses Fourier neural network to model electronic compass error, and adopts Adaptive Differential Evolution to optimize the weights of neural network, and get more exact error model to compensate measured values. The compensation object is the common electronic compass composed by two-dimensional magnetic resistance sensor. Compared with the compensation effect of Least-square method, BP neural network and Fourier neural networks, It proves that the mode of this method can realize the high precision in the sample space mapping and high non-linear approximation ability, and this method has faster convergence rate, can avoid falling into local minima, reduces the training error, and improves error compensation accuracy. This method decreases the error range from -3.4° ~ 25.2° before compensation to -0.20° ~ 0.72°, and the average of the absolute error is 0.30°. Repeatability tests also proved the compensation plan have a good consistency.

关键词： Compass Error compensation Adaptive systems Electronic mail Neural networks Training Measurement uncertainty

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Distributed Motion Coordination for Multi-agent systems with Connectivity Maintenance Using Backbone-Based Networks *

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IFAC Proceedings Volumes 2011年第1期44卷 13588-13593页

作者： Yutian Mao Lihua Dou Hao Fang Huagang Liu Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China. (Tel: 010-68913795)

Abstract 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 leader-follower formation control scheme with backbone agents as the leaders. Finally, nontrivial numerical simulations are worked out to verify the theoretical results.

关键词： Multi-agent systems Motion coordination Connectivity maintenance Backbone-Based network

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Information stream based effectiveness evaluation of air defense networked fire control system

Information stream based effectiveness evaluation of air def...

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作者： Dong, Shike Zhang, Juan Chen, Chen School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Department of Automation Tsinghua University Beijing 100084 China

ISBN: (纸本)9789881725592

An efficient evaluation index system and evaluation model is crucial for effectiveness evaluation of the air defense networked fire control system. This paper, based on pre-research for functions and characteristics of the system, put forth a comprehensive evaluation index system which includes four layers of index hierarchy. Aiming at the characters of some indexes, several evaluation methods are adopted for giving their corresponding evaluation results. Under the condition of networking, the key effect of information stream for exerting system effectiveness is highlighted in this paper. Fuzzy comprehensive evaluation method is employed to establish effectiveness evaluation model for the system. Moreover, to identify the validity of the proposed methods and model, a case study is discussed. The evaluation case shows that the model of effectiveness evaluation is feasible, and capable to carry out objective and reasonable effectiveness evaluation for the system. © 2011 Chinese Assoc of Automati.

关键词： Fire control systems

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New method for recognition of circular traffic sign based on radial symmetry and pseudo-zernike moments

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Journal of Beijing Institute of Technology (English Edition) 2011年第4期20卷 520-526页

作者： Fu, Meng-Yin Huang, Yuan-Shui Ma, Hong-Bin Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

Recognizing various traffic signs, especially the popular circular traffic signs, is an essential task for implementing advanced driver assistance system. To recognize circular traffic signs with high accuracy and robustness, a novel approach which uses the so-called improved constrained binary fast radial symmetry (ICBFRS) detector and pseudo-zernike moments based support vector machine (PZM-SVM) classifier is proposed. In the detection stage, the scene image containing the traffic signs will be converted into Lab color space for color segmentation. Then the ICBFRS detector can efficiently capture the position and scale of sign candidates within the scene by detecting the centers of circles. In the classification stage, once the candidates are cropped out of the image, pseudo-zernike moments are adopted to represent the features of extracted pictogram, which are then fed into a support vector machine to classify different traffic signs. Experimental results under different lighting conditions indicate that the proposed method has robust detection effect and high classification accuracy. © Copyright.

关键词： Support vector machines

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A Mean Square Average Consensus Protocol for Discrete-Time Double-Integrator Multi-Agent systems with Communication Noises

A Mean Square Average Consensus Protocol for Discrete-Time D...

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第七届中国多智能体系统与控制会议(MASC2011)

作者： Long Cheng Zeng-Guang Hou Yunpeng Wang Min Tan Zhiqiang Cao State Key Laboratory of Intelligent Control and Management of Complex System Institute ofAutomation State Key Laboratory of Intelligent Control and Management of Complex System Institute of Automatio

An average consensus protocol is proposed for discrete-time double-integrator multi-agent systems with communication noises under fixed topologies. The proposed consensus protocol is composed of two parts: the agent's own state feedback and the relative states between the agent and its neighbor agents. Due to the existence of communication noises, the relative states cannot be obtained accurately. To attenuate the noise effect, a time-varying consensus gain a(k) is applied to the relative states in the proposed protocol. Hence, the closed-loop dynamics of multi-agent systems is a linear stochastic difference equation with variable coefficients. Fortunately, the state transition matrix of this stochastic system can be solved, and the dynamical behavior of linear multi-agent systems can therefore be determined. It is proved that the proposed protocol is able to solve the mean square average consensus problem if and only if the topology graph is connected;and the time-varying gain a(k) satisfies the stochastic-approximation type conditions (Omission)。

关键词： consensus stochastic mean square multi-agent systems double-integrator

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Cooperative Pollution Supervising and Neutralization with Multi-actuator-sensor Network

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自动化学报 2011年第1期37卷 107-112页

作者： SUN Wei School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P.R. China

现在的工作认为一个 multi-actuator-sensor 网络抵销的一种情形是污染在一个围住的区域采购的有毒的气体和磁道。当在致动器的工作量上到达平衡时，一个新奇算法被建议最小化系统信息无常。方法把 centroidal Voronoi 镶嵌细工(CVT ) ... 详细信息

现在的工作认为一个 multi-actuator-sensor 网络抵销的一种情形是污染在一个围住的区域采购的有毒的气体和磁道。当在致动器的工作量上到达平衡时，一个新奇算法被建议最小化系统信息无常。方法把 centroidal Voronoi 镶嵌细工(CVT ) 与一致策略相结合。这个区域的 CVT 保险致动器的一种本地最佳的位置配置，因此，察觉到的无常能被最小化。一致算法在致动器之中利用连接信息，并且帮助他们到达普通工作量。当工作量被平均时，一致部件将被终止或压制。一致部件可以推迟 CVT 配置的实现。但是它能被看作帮助致动器从本地最佳的 CVT 配置跳的不安。作为结果，信息无常可以进一步被减少。比较与一致策略在纯 CVT 算法和方法之间被拉。模拟验证了建议途径。

关键词：传感器 CVT 运算法则仿真

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Task allocation of multiple UAVs and targets using improved genetic algorithm

Task allocation of multiple UAVs and targets using improved ...

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International Conference on intelligent control and Information Processing (ICICIP)

作者： Yong Zuo Zhihong Peng Xin Liu Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education school of Automation Beijing Institute of Technology China

In this paper, task allocation of multi-Unmanned Aerial Vehicles (UAVs) is studied, that is, multi-UAVs from different bases should be allocated to attack multiple targets. Based on the existing task allocation model, which just take the values of targets, UAVs and weapons into account, the fuel consumption is added into consideration to make the model much more practical. An improved genetic algorithm is proposed for such a multi-UAVs multi-targets task allocation. Simulation results show that the algorithm is significantly effective and the allocation result is reasonable.

关键词： Indexes Zinc Genetics Navigation Weapons

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Adaptive sliding mode control of electromechanical actuator with improved parameter estimation

Adaptive sliding mode control of electromechanical actuator ...

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作者： Li, Hao Bai, Yongqiang Su, Zhong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing 100101 China

ISBN: (纸本)9788995605646

An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertainties, while the sliding mode control method overcomes the unmodelled dynamics. In the adaptive law an equivalent output injection of the sliding mode observer which contains the parameter estimation error is used, and estimates of parameters can approximate the true values without prediction-error that is typically used in compositive adaptive law. Due to the improved estimation of uncertain parameters, the sliding mode law can robustifies the design against model uncertainties with a small swithcing gain. Stability of the system with the proposed approach has been proved and it has also been shown that the system states can reach the sliding mode in finite time. Finally, the effectiveness of the proposed control scheme has been exhibited via simulation examples. © 2011 Asian control Association.

关键词： Parameter estimation

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Real-Time Wide-Field Monitoring system Based on Image Mosaicing Technique and Its Application

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IFAC Proceedings Volumes 2011年第1期44卷 14928-14933页

作者： Li-hui Zou Jie Chen Juan Zhang Jing-hua Lu School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 China

Abstract Common surveillance system is usually limited by the scope of observation, which may increase the probability of missing or misjudging suspicious targets. A wide-field monitoring system based on efficient image mosaicing algorithm is proposed in this paper. It can monitor a wide field for both short and long distance in real time and highlight the detected moving objects simultaneously. The image mosaicing is not only aimed at obtaining the wide field of view, but also utilized in motion detection for forming a wide-field motion mask. A simulation platform is developed to verify the performance of the system. The experiment results show that it satisfies the demands of high resolution and real-time implementation. The system is of high practical value to transportation surveillance or other applications.

关键词： safety analysis image processing transportation

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