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International Joint Conference on Neural Networks

作者： Bin Wang Dongbin Zhao Jin Cheng Yuan Xu Yueyang Li School of Electrical Engineering University of Jinan The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781509006212

Experience replay is a promising approach to improve the learning efficiency of adaptive dynamic programming. A general model-free adaptive dynamic programming (ADP) approach with the experience replay technology is investigated in this paper to solve the optimal control problems in continuous state and action spaces. Both the critic network and action network are modeled with a feedforward neural network with one hidden layer. During the learning process, a number of recently observed data samples are recorded in a database. When updating the parameters of the neural networks, the data in the sample database are repeatedly used to update the weights of the action network and the critic network. Implementation details of the algorithm are given, and simulation experiments are utilized to verify the learning efficiency of the proposed approach.

关键词： Erbium Dynamic programming Neural networks Databases Optimal control Heuristic algorithms Approximation algorithms

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Steps toward Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 345-348页

作者： Fei-Yue Wang Xiao Wang Lingxi Li Li Li IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Qingdao Academy of Intelligent Industries (QAII) QingdaoShandongChinaand SKL-MCCSCASIA Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis Department of Automation Tsinghua University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The origin of artificial intelligence is investigated, based on which the concepts of hybrid intelligence and parallel intelligence are presented. The paradigm shift in Intelligence indicates the ''new normal'' of cyber-social-physical systems (CPSS), in which the system behaviors are guided by Merton's Laws. Thus, the ACP-based parallel intelligence consisting of Artificial societies, Computational experiments and Parallel execution are introduced to bridge the big modeling gap in CPSS. © 2014 Chinese Association of Automation.

关键词： control systems Electrical engineering

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A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems

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Science China(Information Sciences) 2015年第12期58卷 147-161页

作者： WEI QingLai LIU DeRong State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

In this paper, a novel iterative Q-learning algorithm, called "policy iteration based deterministic Qlearning algorithm", is developed to solve the optimal control problems for discrete-time deterministic nonlinear systems. The idea is to use an iterative adaptive dynamic programming(ADP) technique to construct the iterative control law which optimizes the iterative Q function. When the optimal Q function is obtained, the optimal control law can be achieved by directly minimizing the optimal Q function, where the mathematical model of the system is not necessary. Convergence property is analyzed to show that the iterative Q function is monotonically non-increasing and converges to the solution of the optimality equation. It is also proven that any of the iterative control laws is a stable control law. Neural networks are employed to implement the policy iteration based deterministic Q-learning algorithm, by approximating the iterative Q function and the iterative control law, respectively. Finally, two simulation examples are presented to illustrate the performance of the developed algorithm.

关键词： adaptive critic designs adaptive dynamic programming approximate dynamic programming Q learning policy iteration neural networks nonlinear systems optimal control

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A double loop optimization method for gasoline online blending

A double loop optimization method for gasoline online blendi...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Weiheng Chen Jun Yang School of Information Science and Engineering Southeast University Nanjing P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing P. R. China

ISBN: (纸本)9781467380768

Direct-blending component oils bring great disturbance to the online gasoline blending control. A double loop optimization strategy with nested outer and inner loops is proposed, and the optimization strategy combined with a case study is illustrated in detail in this paper. The real industry application demonstrates that this new optimization strategy can not only take account of the bottom oil's properties deviation, but also timely detect the fluctuation of gasoline properties from the direct-blending oils. In this way, the final gasoline product properties can be controlled quite well at one time, and the re-blending times of final product have been much reduced compared with the conventional single loop optimization method.

关键词： Petroleum Oils Optimization methods Fluctuations Standards Production

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Boosting-Based One-Class SVM for Recognizing True-Fake Chinese Liquors Using Electronic Noses

Boosting-Based One-Class SVM for Recognizing True-Fake Chine...

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World Congress on Intelligent control and Automation

作者： Zhi-Hua Li Qing-Hao Meng Pei-Feng Qi Yu Zhou 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

The true-fake detection of Chinese liquors can be considered as a one-class classification problem. Using only positive sample in training process brings about difficulties in determining the optimal parameters of one-class SVM and its kernel. And one-class SVM optimized with conventional grid search method has a low recognition rate of positive test samples. Hence, we proposed a new idea for recognition, namely boosting-based one-class SVM. Six different kinds of liquors were sampled by a self-designed electronic nose system. After the preprocessing and feature extraction of sample data, 18 groups of optimum parameters of one-class SVM were chosen from specified parameter range, each group was used to train a classifier with training algorithm. Then the true-fake decisions were made for test samples with boosting integration rules. Finally the recognition rates of Hongjinjiu and Lanjinjiu positive sample reached 95.24% and 100%, and the recognition rates of both positive and negative sample reached 97.04% and 94.83%, respectively.

关键词： Support Vector Network optimal parameter Electronic Nose Recognition (Psychology) Search methods Chinese Chinese Chinese philosophy Chinese art Feature extraction test sample

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Rapid Detection of Chinese Liquors Using a Portable E-nose Based on C-SVM

Rapid Detection of Chinese Liquors Using a Portable E-nose B...

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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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