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2006 6th World Congress on Intelligent Control and Automation最新文献

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Decentralized Robust H∞Output Feedback Control for Value Bounded Uncertain Large-scale Interconnected Systems 值有界不确定大型互联系统的分散鲁棒输出反馈控制
Pub Date : 2007-12-01 DOI: 10.1109/CDC.2007.4434012
W. Gui, Can Huang, Yongfang Xie, Zhaohui Jiang, Chunhua Yang
For large-scale interconnected systems with value bounded uncertainties existing in the state, control and interconnected matrices, the design of a decentralized robust Hinfin output feedback controller is investigated. Based on the bounded real lemma sufficient conditions for the existence of a decentralized robust Hinfin controller are obtained in terms of a set of matrix inequalities. According to Schur complement, a homotopy iterative linear matrix inequality method is put forward to construct a decentralized robust Hinfin controller by fixing different variables. The controller obtained enables the closed-loop large-scale systems robust stable and satisfies the given Hinfin performance. At last a numerical example is given to illustrate the effectiveness of the offered method
针对状态、控制和互联矩阵中存在值有界不确定性的大型互联系统,研究了分散鲁棒Hinfin输出反馈控制器的设计。基于有界实数引理,用一组矩阵不等式给出了分散鲁棒Hinfin控制器存在的充分条件。根据Schur补,提出了一种同伦迭代线性矩阵不等式方法,通过固定不同变量来构造分散鲁棒Hinfin控制器。所得到的控制器使闭环大系统鲁棒稳定,满足给定的Hinfin性能。最后通过一个算例说明了所提方法的有效性
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引用次数: 1
Integration Method Research for the Detection of Moving Multi-Targets in Complex Dynamic Scenes 复杂动态场景中运动多目标检测的集成方法研究
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714004
Xinggang Liu, Xiaochuan Luo, Shan-qing Li, Huiping Zhao
The moving target detection is the important area and key technology in machine vision, image understanding and terminal guidance. It finds a wide application in industry and military field. This paper presents a new approach to comprehensively detect the moving multi-targets in dynamic scenes. The method extracts the contour of each moving object based on the fusion of motion segmentation technique using difference of image and region growing process, and then the final result can be achieved after the optimization with active contour model. The advantages of this method are as follows: the complexity of the background information and the size of the target cannot affect the result of detection; viz. the detection method is of very robust and doesn't need motion compensation in the detecting process. The result of the simulation experiment has proved that the algorithm is reliable, practical and robust
运动目标检测是机器视觉、图像理解和末制导中的重要领域和关键技术。它在工业和军事领域有着广泛的应用。提出了一种综合检测动态场景中运动多目标的新方法。该方法融合运动分割技术,利用图像差分和区域生长过程提取运动目标的轮廓,然后利用主动轮廓模型进行优化,最终得到运动目标的轮廓。该方法的优点是:背景信息的复杂性和目标的大小不会影响检测结果;即该检测方法具有很强的鲁棒性,并且在检测过程中不需要进行运动补偿。仿真实验结果证明了该算法的可靠性、实用性和鲁棒性
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引用次数: 2
Active-Disturbances-Rejection-Controller design of super-maneuverable flight based on dynamic inversion 基于动态反演的超机动飞行自抗扰控制器设计
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713549
Zhiguo Xiong, Xiu-xia Sun, Mengquan Hu, Dong Wang
By means of active-disturbances-rejection-controller (ADRC) based on compensation of dynamic inversion, a new scheme is proposed to design super-maneuverable flight controller. Firstly, the natural dynamics of aircraft is cancelled out to some extent by using known information of flight model, and then by applying ADRC in the fast and slow variables system to compensate model disturbances and uncertainty, the scheme realizes dynamic decoupling control of fast and slow state variables. Not needing accurate model of controlled object, ADRC is designed directly based on high degree of nonlinearity and uncertainty of aircraft under high-angle-of-attack flight, furthermore, without changing the structure and parameters of controller in big flight envelope, the scheme can simplify the design of flight control system. The simulation results of high-angle-of-attack maneuver in big flight envelope show that close loop system achieves high dynamic performance and robustness performance. The design using ADRC brings a new method to solve the problem of super-maneuverable flight control
采用基于动态逆补偿的自抗扰控制器(ADRC),提出了一种设计超机动飞行控制器的新方案。该方案首先利用飞行模型的已知信息对飞机的自然动力学进行一定程度的抵消,然后在快、慢变量系统中应用自抗扰控制器补偿模型扰动和不确定性,实现快、慢状态变量的动态解耦控制。该方案不需要精确的被控对象模型,直接针对飞机在大迎角飞行下的高度非线性和不确定性进行设计,且不改变大飞行包线范围内控制器的结构和参数,可以简化飞控系统的设计。大包线大攻角机动仿真结果表明,闭环系统具有较高的动态性能和鲁棒性。采用自抗扰控制器的设计为解决超机动飞行控制问题提供了一种新的方法
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引用次数: 0
Application of Neural Network Based on Simulated Annealing to Classification of Remote Sensing Image 基于模拟退火的神经网络在遥感图像分类中的应用
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712890
Xiaoqiong Pang, L. Chen, Wenjun Chen
The performance was unstable when using BP neural network to classify remote sensing images. Applying simulated annealing idea, an improved BP neural network with momentum was put forward. The improved network could self-adapt to choose momentum parameters according to annealing temperature, which was able to make the network escape from local minimum spots and converge stably. The experiments show that improved network converges more easily, its performance is steady, it has the preponderances of gradient descent with momentum and the standard BP neural network. Classification accuracy of remote sensing image is comparatively high. This method has practical application value
使用BP神经网络对遥感图像进行分类时,性能不稳定。应用模拟退火思想,提出了一种改进的带动量BP神经网络。改进后的网络能够根据退火温度自适应选择动量参数,使网络能够摆脱局部最小点,稳定收敛。实验表明,改进后的神经网络更容易收敛,性能稳定,具有带动量梯度下降法和标准BP神经网络的优势。遥感影像的分类精度比较高。该方法具有实际应用价值
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引用次数: 3
The Hopfield neural networks are applied in the conceptual design for example Hopfield神经网络在概念设计中的应用就是一个例子
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714424
Zhao Ting-ting, Weu Xiao-peng, Yu Hong-zhi, Xia Jun-tie, Mao Hong-bo
According to the memory function of the association of the Hopfield neural networks, the process of conceptual design based on the example was carried out. It adopted the method that database and network of Hopfield combine in the process, to build up 0-1 functions to match the watch and use the Hebb study establishment experience matrix method. It was realized from a database searching an alike of the example. The huge calculation quantity and the establishment knowledge that avoided inspecting to the portrait reasons logically complicated process of the database. Finally, by the example carries on the verification to the process
根据Hopfield神经网络关联的记忆功能,进行了基于实例的概念设计过程。在此过程中采用了数据库与Hopfield网络相结合的方法,建立0-1函数来匹配手表,并采用Hebb研究建立经验矩阵法。它是通过一个数据库搜索来实现的。庞大的计算量和对画像避免检查的建立知识导致数据库的逻辑复杂过程。最后,通过实例对过程进行验证
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引用次数: 0
Intelligent Optimal Control of Grinding Circuits for Optimization of Particle Size Index 面向粒度指标优化的磨矿回路智能优化控制
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714356
P. Zhou, T. Chai, Heng Yue, Jinliang Ding, Da-yong Zhao
Grinding circuits are characterized by being multivariable, non-linearity, severe coupling, large-time delay and time-variance. The key technical index, i.e. the particle size, is difficult to control directly with conventional loop control strategies. In this paper, an intelligent optimal control technique of grinding circuits achieving optimization of particle size index was proposed by combining intelligent methods including NN, CBR and IF-THEN rules-based reasoning. This hierachical control system is composed by a loop control layer and a loop setting layer. The formal consists of the loop controllers of the fresh ore feed, pulp density and overflow density, the later consists of a loop setting module, a soft-sensing predictor, a feedback compensator and a feedforward compensator. The loop setting layer gives the optimal setpoints to the loop controllers. This technique has been successfully applied in grinding circuits in a mineral processing plant. The particle size index has been kept in the required ranges. The control and operation of the grinding circuits achieved optimization
磨削电路具有多变量、非线性、强耦合、大时延和时变等特点。传统的闭环控制策略难以对关键技术指标粒度进行直接控制。结合神经网络、CBR和基于IF-THEN规则推理的智能方法,提出了一种磨矿电路的智能最优控制技术,实现磨矿粒度指标的优化。该分层控制系统由回路控制层和回路设置层组成。前者由鲜矿给料、矿浆密度和溢流密度的回路控制器组成,后者由回路设定模块、软测量预测器、反馈补偿器和前馈补偿器组成。回路设定层为回路控制器提供最优设定值。该技术已成功应用于某选矿厂的磨矿回路中。粒度指标保持在要求的范围内。对磨削回路的控制和运行进行了优化
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引用次数: 3
Binary-tree Multi-Classifier for Welding Defects and Its Application Based on SVM 基于支持向量机的焊接缺陷二叉树多分类器及其应用
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713639
Ding Gao, Yuan-xiang Liu, Xiao-guang Zhang
Application of support vector machine (SVM) for large number of catalogs was studied, and the structure of optional SVM decision tree was introduced under the different background. Aiming at the defect recognition problem in X-ray inspection welding images and combining the basic theory of binary-tree, a binary-tree method of multi-class classification based on SVM was put forward. This method adopts 'one-against-all' classification algorithm by which binary-tree multi-classifier for welding defects based on SVM was established. According to the characteristics of defects, six parameters were chosen as feature parameters, and familiar defects in the weld were classified into 6 classes. 84 defect samples were used to experiments, and the results show that the classifier possesses simple, intuitionistic and practical algorithm, and small number of repeated training samples
研究了支持向量机在海量目录中的应用,并在不同背景下介绍了可选支持向量机决策树的结构。针对x射线检测焊接图像中的缺陷识别问题,结合二叉树的基本理论,提出了一种基于支持向量机的二叉树多类分类方法。该方法采用“一对全”分类算法,建立了基于支持向量机的焊接缺陷二叉树多分类器。根据缺陷的特点,选取6个参数作为特征参数,将焊缝中常见缺陷分为6类。用84个缺陷样本进行了实验,结果表明该分类器算法简单、直观、实用,重复训练样本数量少
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引用次数: 6
Approximation Theory of Real Sliding Mode in Variable Structure Control of Time-Delay Singular System 时滞奇异系统变结构控制中的实滑模逼近理论
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712697
Jifeng Guo, Cunchen Gao, Dongyuan Meng
Theory of approximation between real sliding mode and ideal sliding mode in variable structure control of linear time-delay singular uncertain system is studied. According to the theory, it is need only to study the ideal sliding mode in order to guarantee the system possess of good transient performances. The theory is natural generalization and improvement of those in normal systems, time-delay systems and singular systems
研究了线性时滞奇异不确定系统变结构控制中实滑模与理想滑模的逼近理论。根据理论,为了保证系统具有良好的暂态性能,只需要研究理想滑模即可。该理论是对正常系统、时滞系统和奇异系统理论的自然推广和改进
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引用次数: 0
Asymmetrical Support Vector Machine Based on Moving Optimal Separating Hyperplane 基于移动最优分离超平面的不对称支持向量机
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712815
Hongsheng Lue, Jianmin He, Xiaoping Hu, Jian Wang
Aiming at the problem about classifying two samples, support vector machine (SVM) put forward by Vapnik didn't think over the difference of two classes of classification error, so a new method, asymmetrical support vector machine (A-SVM), is given. The optimal separating hyperplane was deviated from the optimal support hyperplane of some kind of sample set by parallel moving the optimal separating hyperplane, and then this kind of sample set could be recognized with higher accurate ratio. Example result shows that A-SVM is similar to SVM for the total recognizing performance of both learning and testing. However, A-SVM is better than SVM when separating the kind of sample set
针对两个样本的分类问题,Vapnik提出的支持向量机(SVM)没有考虑到两类分类误差的差异,提出了一种新的方法——不对称支持向量机(a -SVM)。通过平行移动最优分离超平面,使最优分离超平面偏离某一样本集的最优支撑超平面,从而提高该样本集的识别准确率。实例结果表明,A-SVM在学习和测试两方面的总体识别性能与SVM相似。但在样本集种类的分离上,A-SVM优于SVM
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引用次数: 2
Multi-objective Optimization Model and Algorithm for Hot Rolling Lot Planning 热轧批规划多目标优化模型与算法
Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714522
Shushi Ning, Wei Wang
A multi-objective combinatorial optimization model is formulated for hot rolling lot planning problem in the production scheduling of iron and steel enterprises and a new modified multi-objective genetic local search algorithm is designed to solve the model. The model can solve the problem more precisely than previous methods. The algorithm can provide the schedulers with more than one solution in order to help schedulers make further decisions. Simulation experiment using production data shows that the model and algorithm are effective
针对钢铁企业生产调度中的热轧批规划问题,建立了多目标组合优化模型,并设计了一种改进的多目标遗传局部搜索算法来求解该模型。该模型能比以往的方法更精确地解决问题。该算法可以为调度程序提供一个以上的解决方案,以帮助调度程序做出进一步的决策。生产数据的仿真实验表明,该模型和算法是有效的
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引用次数: 4
期刊
2006 6th World Congress on Intelligent Control and Automation
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