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World Congress on Intelligent control and Automation

作者： Pei-Feng Qi Qing-Hao Meng Ya-Qi Jing Ming Zeng Shu-Gen Ma Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems Tianjin University Department of Robotics College of Science and Engineering Ritsumeikan University

ISBN: (纸本)9781467384155

We designed a portable electronic nose (e-nose) for rapid detection of Chinese liquors. The e-nose had an evaporation chamber wrapped with silicone heating band, which could vaporize the liquor samples in 1 minute. The sequential sampling and clean-out lasted 100 seconds and 3 minutes, respectively. Hence, one fast detection process could be finished within 3 minutes without regard to clean-out. In order to acquire enough information from array's sampling curves for classification, we chose 60 features (including 6 features per sensor) according to the response curves, the derivative of the response curves and the relative change rate curves of conductivity. Then the dimension of features was reduced by principle component analysis (PCA). Finally, classification of Chinese liquors was performed using C-Support Vector Machine (C-SVM) and the classification rate was 96.7%.

关键词： Sensor arrays Conductivity Principal component analysis Gas detectors Heating Support vector machine classification Support vector machine classification Electronic Nose Gas detectors Sensor arrays principal components analysis conductivity response curves change rate Heating Chinese Chinese Chinese philosophy Chinese art

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Extended State Observer Based control for Ground-Coupled Heat Pump System

Extended State Observer Based Control for Ground-Coupled Hea...

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第27届中国控制与决策会议

作者： Zhang Yu Wang Junxiao LI Shihua School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479970186

This paper aims to investigate an extended state observer（ESO） based control approach for the ground-coupled heat pump system（GCHP）.As GCHP system has strong disturbances,a feasible approach of disturbance rejection should be proposed *** is employed to estimate the disturbance and compensate it to the controller to eliminate effects of the *** using ESO-based control and comparing with traditional control method,a better control performance is obtained through simulation verification.

关键词： GCHP ESO disturbance rejection simulation

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Effects of mechanical boundary conditions on thermal shock resistance of ultra-high temperature ceramics

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Applied Mathematics and Mechanics(English Edition) 2015年第2期36卷 201-210页

作者： Tianbao CHENG Weiguo LI Yushan SHI Wei LU Daining FANG Chongqing Key Laboratory of Heterogeneous Material Mechanics College of Aerospace Engineering Chongqing University State Key Laboratory of Coal Mine Disaster Dynamics and Control College of Resources and Environmental Science Chongqing University State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University

The effects of mechanical boundary conditions, often encountered in thermalstructural engineering, on the thermal shock resistance（TSR） of ultra-high temperature ceramics（UHTCs） are studied by investigating the TSR of a UHTC plate with various types of constraints under the first, second, and third type of thermal boundary conditions. The TSR of UHTCs is strongly dependent on the heat transfer modes and severity of the thermal environments. Constraining the displacement of the lower surface in the thickness direction can significantly decrease the TSR of the UHTC plate, which is subject to the thermal shock at the upper surface. In contrast, the TSR of the UHTC plate with simply supported edges or clamped edges around the lower surface is much better.

关键词： thermal shock resistance（TSR） ultra-high temperature ceramic（UHTC） mechanical boundary condition temperature-dependent material property thermal environment

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Distributed control of second-order nonlinear time-delayed multiagent systems with disturbance using neural networks

Distributed control of second-order nonlinear time-delayed m...

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International Joint Conference on Neural Networks

作者： Hongwen Ma Derong Liu Ding Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology

ISBN: (纸本)9781509006212

In this paper, a class of second-order nonlinear time-delayed multiagent systems with disturbance is investigated. In order to improve the adaptivity, neural networks are used to learn the unknown dynamics. Then, by utilizing Lyapunov-Krasovskii functional, time delays can be eliminated. Moreover, a robustifying term is introduced to constrain external disturbance. With divide-and-conquer idea, the distributed controller is divided into five different parts to make the multiagent systems reach consensus. To circumvent the singularity induced by the time-delay elimination part, a σ-function is developed. Finally, the simulation results demonstrate the validity of the distributed controller.

关键词： Multi-agent systems decentralised control disturbance Neural network Simulation results external disturbance Singularity disturbances nonlinearity

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Social role clustering with topic model

Social role clustering with topic model

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Jie Bai Linjing Li Daniel Zeng Junjie Lin The State Key Laboratory of Management and Control for Complex Systems Institute of Automation China School of Computer and Control Engineering University of Chinese Academy of Sciences China Department of Management of Information Systems The University of Arizona USA

ISBN: (纸本)9781509038664

In this paper, we propose a new role analyzing paradigm for social networks enlightened by topic modeling, which can be adopted as a primitive building block in various security related tasks, such as hidden community finding, important person recognizing and so on. We first present the social network under analyzing as a heterogeneous network constructed by both the users and the subjects discussed among them. We then view this network in a Bag-of-Users schema, which mimics its classical Bag-of-Words counterpart. In this schema, the subjects discussed are treated as “documents” while the users are treated as “words” which construct the “documents”. Based on this novel presentation, we finally apply topic modeling technology to perform the social role clustering. Experiments on a practical security-related social network dataset prove the effectiveness of our approach.

关键词： Social network services Heterogeneous networks Analytical models Computational modeling Finance Security Data models

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Directed Coordinated Orbit-Tracking control of Second-Order Nonlinear Satellites in Three-Dimensional Space 34

Directed Coordinated Orbit-Tracking Control of Second-Order ...

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第三十四届中国控制会议

作者： CHEN Yang-Yang ZHANG Ya WEI Ping School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Department of Electronic Information Engineering Anhui Business College

ISBN: (纸本)9781467374439

This paper deals with the three-dimensional(3D) coordinated control of satellites formation motion along a set of given closed orbits, where each satellite has intrinsic second-order Lipchitz nonlinear dynamics and the commutation topology among satellites is directed. A projection-based orbit extension method is presented by extending our previous concentric compressing method. The control for the orbit-tracking subsystem and the formation motion subsystem are designed respectively at first, and then the overall closed-loop coordinated orbit-following system is regarded as a cascade system. By using tools from Input-toState stability(ISS) theory and the extension of Barbalat's lemma, it is shown the closed-loop coordinated orbit-tracking system is asymptotic stability if the directed communication topology contains a directed spanning tree. The effectiveness of the analytical results is verified by Satellite Tool Kit(STK).

关键词： Directed Coordinated Orbit-Tracking control,Second-Order Lipchitz Nonlinear satellites,Cascade System,Three-Dimensional Space

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Activating topic models from a cognitive perspective

Activating topic models from a cognitive perspective

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Jie Bai Linjing Li Daniel Zeng School of Computer and Control Engineering University of Chinese Academy of Sciences China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences China Department of Management of Information Systems The University of Arizona USA

ISBN: (纸本)9781509038664

Topic modeling is a popular text mining technique for extracting latent semantics from text. It can be widely applied in intelligence analyzing, anti-terrorist, and various other security related tasks. Most existing topic models only focus exclusively on the text literally, and disregard rich contextual, cultural, and language background, hindering the understanding and discovering of the key clues implied in the text. Based on cognitive psychology theories, we justify the classical psychological activation theory named Adaptive control of Thought from the perspective of information theory. Then, we propose a fast and loosely-coupled activation presentation of text for topic models. Our method mimics the aspect of human cognitive procedure when facing the activation of new concepts based on word correlations and word frequencies. Experimental results on multiple tasks show that our activation presentation models can significantly improve the performance of the topic models with linear time consumption.

关键词： Analytical models Semantics Computational modeling Psychology Text mining Information theory Adaptation models

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Optimal Self-Learning control Scheme for Discrete-Time Nonlinear systems Using Local Value Iteration

Optimal Self-Learning Control Scheme for Discrete-Time Nonli...

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International Joint Conference on Neural Networks

作者： Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509006212

In this paper, an optimal self-learning control scheme for discrete-time nonlinear systems is developed using a new local value iteration based adaptive dynamic programming (ADP) algorithm. The developed local value iteration algorithm permits an arbitrary positive semi-definite function to initialize the algorithm. In the developed local value iteration algorithm, the iterative value function and iterative control law are updated by a subset of the state space. A new analysis method of the convergence property is presented to show that the iterative value functions will converge to the optimum. The convergence criterion for the local value iteration algorithm is presented. A simulation example is given to demonstrate the validity of the present optimal control scheme.

关键词： state-space methods convergence discrete time systems dynamic programming iterative methods learning systems nonlinear systems optimal control

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Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Tracking control of a Class of Nonlinear systems

Generalized Policy Iteration Adaptive Dynamic Programming Al...

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第28届中国控制与决策会议

作者： Qiao Lin Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781467397155

This paper deals with optimal tracking control problems for a class of discrete-time nonlinear systems using a generalized policy iteration adaptive dynamic programming(ADP) ***,by system transformation,the optimal tracking control problem is transformed into an optimal regulation *** the generalized policy iteration ADP algorithm is employed to obtain the optimal tracking controller with convergence and optimality *** developed algorithm uses the idea of two iteration procedures to obtain the iterative tracking control laws and the iterative value *** neural networks,including model network,critic network and action network,are used to implement the developed *** last,an simulation example is given to demonstrate the effectiveness of the developed method.

关键词： adaptive dynamic programming affine nonlinear systems discrete-time generalized policy iteration neural network tracking control

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Image Matching Based on Multiscale Increment Sign Correlation and Iterative Correction

Image Matching Based on Multiscale Increment Sign Correlatio...

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第35届中国控制会议

作者： Liping Yan Sai Yang Shuo Li Yuanqing Xia Bo Xiao Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

By combining wavelet transform and increment sign correlation with iterative correction,we present a robust image matching method,which effectively reduced ***,by decomposing the sensed image and the reference image with wavelet,smooth images are generated in coarse *** the use of increment and decrement information of adjacent pixels,smooth images are encoded into binary images,and the matching position can be found by use of the cross correlation *** decomposition can effectively remove noise and greatly improve the real-time performance of matching algorithm while increment sign correlation method is not sensitive to the gray level of *** combination of wavelet transform and increment sign correlation can deal with noise,shadow and occlusion as well as improve the matching speed compared with traditional matching *** the condition of heavy noise and occlusion that the matching method mentioned above can not find the correct position in condition of heavy noise and occlusion,we present an iterative correction image matching method,*** the above matching result as prior knowledge and achieve the correct matching position by correcting matching results *** analysis shows the feasibility of the presented method,and our experiments show its validity.

关键词： Image Matching Wavelet Decomposition Increment Sign Correlation Iterative Correction

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