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A Novel Fusion Strategy for E-MAP Missing Value Imputation

IFAC Proceedings Volumes 2011年第1期44卷 6178-6183页

作者： Xiao-Yong Pan Ye Tian Li-Xiu Yao Hong-Bin Shen Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 School of Aerospace and Astronautic Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

Abstract Epistatic miniarray profiling (E-MAP) is powerful for measuring gene biological relevance. However, E-MAP suffers from large number of missing values, and in order to use the E-MAP information more efficiently, the missing values have to be estimated. In this paper, considering advantages and disadvantages of different independent algorithms, we proposed a novel fusion approach based on the high-level diversity to estimate missing values that consists of two global and four local base estimators. Experiment results show our fusion scheme is more effective and robust for the missing value imputations and outperforms all single base algorithms on E-MAP data.

关键词： Missing value estimation E-MAP Ensemble estimator

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Subspace identification using the saturation measurement in data-driven control systems

Subspace identification using the saturation measurement in ...

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Asian control Conference

作者： Yongling Wu Shaoyuan Li Hua Yang Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China College of Information Science and Engineering Ocean University of China Qingdao Shandong China

ISBN: (纸本)9781612844879

Saturation characteristic exists widely in the real system, and a large number of articles have taken constraint conditions into account during the controller design process. However, relative to the research on the input (actuator) saturation, study on the output (sensor) saturation has not been taken seriously and research results are very little, especially in the aspect of effect on the identification due to the saturation output. In this paper, under the data-driven control system based on online subspace identification and model predictive control (MPC) method, the relationship among the output saturation step, prediction horizon and subspace matrix is obtained, while the change of the system information is unknown because the output signals are locked. Finally, a simulation example is given to demonstrate the correction of the conclusion.

关键词： Predictive models Matrix decomposition Mathematical model Predictive control Actuators

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Sample size analysis of GPS probe vehicles for urban traffic state estimation

Sample size analysis of GPS probe vehicles for urban traffic...

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International Conference on Intelligent Transportation

作者： Qiankun Zhao Qing-Jie Kong Yingjie Xia Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China Hangzhou Institute of Service Engineering Hangzhou Normal University Hangzhou China

Nowadays, probe vehicles equipped with Global Position system (GPS) are an effective way of collecting real-time traffic information. This paper first briefly introduces the Curve-Fitting Estimation Model (CFEM), which is one of the typical methods using GPS data to estimate the traffic flow state. After that, it is detailedly analyzed how many probe vehicles the CFEM requires in order to ensure enough estimated accuracy. Furthermore, a sample size algorithm is developed to calculate the minimum sample size of the CFEM. In the algorithm, the road type, the length of road section, and sample frequency are taken into account. Finally, the proposed algorithm of sample size analysis are tested by the experiments using the data collected from the road network of the whole center region of Shanghai.

关键词： Vehicles Probes Global Positioning system Roads State estimation Computational modeling

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The Kalman Filtering for a class of Local Strongly Coupled systems

The Kalman Filtering for a class of Local Strongly Coupled S...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Yunze Cai Hua O. Wang Xiaoming Xu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Inform Department of Mechanical Engineering Boston University Boston MA 02215 USA Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 P.R.Chi

This paper addresses a Kalman filtering problem for a class of local strongly coupled systems which are derived from complex systems with inter communication or constraint between nodes. To start with, a multi-agent system is introduced and the communication matrix is characterized by employing random series with Bernoulli distributions. Using augmentation techniques and stochastic methods, the Kalman filtering algorithm is deducted. The experimental results not only demonstrate the effectiveness of the proposed filtering method, but also show the inter-agent communication could improve the tracing effect in the multi-agent collaborative systems.

关键词： Local strongly coupled systems Kalman filter Communication

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Visual tracking of robots in uncalibrated environments

Visual tracking of robots in uncalibrated environments

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2011 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Hesheng Wang Weidong Chen Zhongli Wang Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

This paper presents a new adaptive controller for visual tracking control of a robot manipulator in 3D general motion with a fixed camera whose intrinsic and extrinsic parameters are uncalibrated. In addition to camera parameters, the feature positions in 3D space are also assumed unknown. Based on the fact that the unknown parameters appears linearly in the closed-loop dynamics of the system if the depth-independent interaction matrix is adopted to map the image errors onto the joint space of the manipulator, we developed a new adaptive algorithm to estimated the unknown parameters on-line. With a full consideration of dynamic responses of the robot manipulator, we employ the Lyapunov method to prove asymptotic convergence of the image errors. Experimental results are used to demonstrate the performance of the proposed approach.

关键词： Cameras Robot vision systems Trajectory Manipulator dynamics Joints

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A novel type of trigonometric neural network trained by Extended Kalman Filter

A novel type of trigonometric neural network trained by Exte...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

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Differential evolution with adaptive population size combining lifetime and extinction mechanisms

Differential evolution with adaptive population size combini...

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Asian control Conference

作者： Chunmei Zhang Jie Chen Bin Xin Tao Cai Chen Chen School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9781612844879

Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extinction which regulate DE's population size in an adaptive manner. The population size is adjusted according to the online progress of fitness improvement. Two schemes of inserting new individuals are proposed to match different mechanisms respectively. The performance of these innovations is examined through the optimization of benchmark problems. The results show that the proposed adaptive population sizing strategy is efficient for improving the convergence and efficiency of the DE.

关键词： Convergence Optimization Benchmark testing Cloning automation Evolutionary computation Algorithm design and analysis

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Resource management using dynamical load prediction and multiprocessor cooperation

Resource management using dynamical load prediction and mult...

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International Conference on Networked Computing and Advanced Information Management (NCM)

作者： Xiuyan Guo Wu Zhang Jinlin Wang Gang Wu Joint Laboratory of Network Communication System & Control Department of Automation University of Science and Technology Hefei Anhui China National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy and Sciences Beijing China

Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usually difficult for a system to ensure load balancing and resource constraints simultaneity. In order to handle this problem lots of algorithms have been brought forward. In this paper, a load balancing policy is proposed to manage and integrate processing resource of multiprocessor system which is used to send packets of packets flows on time. The policy dynamically predicts the wait time before a packet to be processed based on the load of the processor and the timestamp of the packet, and decides the migration of packet between processors to guarantee that the packets can be processed before deadline. This policy can not only increase the multiprocessor utilization but also enhance the capacity of the system against the jitter of load by packets migration between the processors as well. We use simulation experiment to show that the policy can reduce the possibility of packets delay and increase the concurrency of flows that the system can serve.

关键词： Load management Multicore processing Delay Real time systems Resource management Load modeling Jitter

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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An ACP-based framework for occupants safety evacuation under fire in high-rise buildings

An ACP-based framework for occupants safety evacuation under...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Yu-Ling Hu Ding Wen Xi-Wei Liu School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing China Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology Beijing China Research Center of Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha China Institute of Automation Chinese Academy and Sciences Beijing China

Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue under fire in the high-rise buildings. Because it is impossible in fact to do experiments about fire safety evacuation in high-rise buildings, in this paper, a research framework based on the artificial system, computational experiments, and parallel excution (ACP) theory is proposed. First, an evacuation process is considered to compose of two stages including pre-evacuation stage and evacuation stage. Second, artifical men with recognition functions based agent technology is proposed. Finally, computational experiments are designed by using an orthogonal experiment table, and experiment procedure of pre-evacuation stage is given. The idea of systimatic research about the influence of fire control facilities to evacuation is also proposed.

关键词： Fires Computational modeling Buildings

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