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Optimal Consensus control of Unknown Nonlinear Multi-Agent systems Using Adaptive Dynamic Programming via MRAC

Optimal Consensus Control of Unknown Nonlinear Multi-Agent S...

引用

第37届中国控制会议

作者： Hao Fu Xin Chen Wei Wang Jinbin Li Yaodong Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems State Grid Hubei Electric Power Research Institute

This paper introduces an optimal consensus control scheme for nonlinear multi-agent systems with completely unknown dynamics. In general, it is difficult to solve the coupled Hamilton-Jacobi-Bellman（HJB） equations, which the optimal consensus control relies on in multi-agent systems, especially unknown nonlinear systems. For the purpose of solving the problem, we propose an optimal consensus control approach based on the model reference adaptive control（MRAC） and adaptive dynamic programming（ADP）. Using the structure of the diagonal recurrent neural network, the identifier and controller are devised to achieve MRAC for every plant of the unknown nonlinear systems, i.e. the reference model serves as a dynamic model of each individual agent. Then, according to reference models of distributed agents, an adaptive dynamic programming（ADP）is introduced to approximate the solution of the coupled HJB equations.

关键词： Multi-agent systems optimal consensus model reference adaptive control adaptive dynamic programming

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Design and Application of a Web-based Comprehensive Evaluation and Decision Support system for Tobacco Cultivation Process

Design and Application of a Web-based Comprehensive Evaluati...

引用

Chinese control Conference

作者： Gong Chen Yonghua Xiong Wei Chen Hao Zhou School of Automation China University of Geoscience Wuhan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Guizhou Tobacco Science Institute Guiyang

The evaluation and decision support system are widely used in agriculture with the development of information technology. In this paper, a Web-based comprehensive evaluation and decision support system (WCEDSS) is designed for flue-cured tobacco cultivation process. Using the artificial neural networks and some image processing methods, WCEDSS can predict various indicators of tobacco such as yield and flue-cured score, or give decisions at different stages of tobacco cultivation. As the system is developed by the Browser/Server (B/S) architecture, it is possible to make full use of the Internet resources and to facilitate users at any place with access to the Internet. Test results indicates that WCEDSS can achieve good performance. With other auxiliary functions, the system shows potential and extensive practicality in agricultural information management and guidance.

关键词： Agriculture Artificial neural networks Computer architecture Image color analysis Databases Decision support systems Maintenance engineering

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A Dynamic Data-driven Model for Predicting Strip Temperature in Continuous Annealing Line Heating Process

A Dynamic Data-driven Model for Predicting Strip Temperature...

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第37届中国控制会议

作者： Yongyue Zhang Yali Jin Weihua Cao Zezhong Li Yan Yuan School of Information Science and Engineering Central South University School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In the continuous annealing line heating process, it is hard to get an accurate predict result only by a steady state model as it is a complex, strongly time-delayed and confounding process. This study provides a method for building a dynamic model. First analyzes the mechanism of the annealing line to get the main parameters, and then use the data-driven modeling method to get a steady state model, finally combines with dynamic algorithm to establish a dynamic model. This modeling method improves the accuracy of predict result to guarantee the efficiency of enterprises.

关键词： data-driven dynamic model continuous annealing line heating process

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Stability Analysis of Discrete T-S Fuzzy systems with Time-Varying Delay Using an Extended Reciprocally Convex Matrix Inequality

Stability Analysis of Discrete T-S Fuzzy Systems with Time-V...

引用

第37届中国控制会议

作者： Bi-Ying Chen Fei Long Chuan-Ke Zhang Yong He Hui-Qin Xiao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems College of Electrical and Information Engineering Hunan University of Technology

This paper concerns the stability analysis of discrete Takagi-Sugeno fuzzy systems with time-varying delays.A suitable Lyapunov-Krasovskii functional is constructed,and an extended reciprocally convex matrix inequality is used to estimate the forward difference of the *** a result,a less conservative stability criterion is ***,a numerical example is given to demonstrate the advantage of the proposed method.

关键词： Discrete T-S fuzzy systems time-varying delay stability analysis extended reciprocally convex matrix inequality

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Multi Constellation Fast Selection Method Based on Equivalent Distance Error

Multi Constellation Fast Selection Method Based on Equivalen...

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第37届中国控制会议

作者： Guangjun Wang Yutao Cheng Shaohui Yang School of Automatic China University of Geosciences Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems STATE GRID PUYANG ELECTRIC POWER SUPPLY COMPANY

A single satellite navigation system can get high accuracy in general environment, but when the ground satellite navigation receiver is in complex environment, single system navigation often results in poor location results due to the visible satellite less than four. If multiple constellation fusion navigation is used, the number of visible satellites can be increased, thus improving the positioning results. However, the use of all visible satellites in location calculation will bring a huge amount of calculation, which seriously affects the real-time performance of navigation and positioning. Therefore, a reasonable selection of star selection method is urgently needed in the integrated navigation system. Based on the two performance indexes of balanced geometric accuracy factor（GDOP） and star selection efficiency, fast star selection algorithm based on equivalent distance error is proposed in this paper. The experimental results show that the method can effectively improve the efficiency of multi constellation star selection of the premise of high precision.

关键词： Satellite navigation Multi-constellation fusion Satellite selection Geometric Dilution of Precision

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Research of Vehicle Detection system Based on Geomagnetic Disturbance Detection

Research of Vehicle Detection System Based on Geomagnetic Di...

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第37届中国控制会议

作者： Junlei Song Yi Wei Chaoyu Xu Qi Liu Kaifeng Dong Wenqin Mo Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mechanical and Electronic Information China University of Geosciences

To overcome the shortcomings of high cost, maintenance difficulties in traditional vehicle detection methods. This paper p resents a novel vehicle detection method used in the military field. The anisotrop ic magneto resistive（AM R） sensor is used to detect geomagnetic disturbances in real time, meanwhile, the ultrasonic distance-measuring sensor is adop ted to determine the p osition of the target vehicle and avoid miscalculation. To reduce detection delay, a scheme containing dual AM R sensors and wireless communication module for information transferring is used on this detection sy stem. In order to verify the effectiveness of the detection sy stem, a mathematical model of vehicle detection based on geomagnetic disturbance detection is established. According to the test results, t he influence cased by different content of ferromagnetic material and detection distance is analy zed. Finally, the related exp eriments on the effects of different ferromagnetic contents on the geomagnetic disturbance at different detection distances are carried out. The exp erimental results verify the correctness of the mathematical model p rop osed in this p ap er, and further verify the effectiveness of the detection sy stem. This detection sy stem p ossesses many p rominent advantages such as low-cost, long-life, good p erformance of real time, convenience.

关键词： Geomagnetic measurement Magneto resistive sensor Vehicle detection

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Motion Blurred Star Image Centroid Optimized Extraction Based on Prior Gaussian Distribution 29

Motion Blurred Star Image Centroid Optimized Extraction Base...

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第29届中国控制与决策会议

作者： Peng Dingbang Chen Hao Sang Xiaochong Li Jianxun School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Institute of Spaceflight Control Technology Shanghai Key Laboratory of Aerospace Intelligent Control Technology

ISBN: (纸本)9781509046584

Star centroid extraction is the precondition of star recognition in star navigation *** image will be motion blurred under high dynamic *** methods such as Wiener filter method,restore the blurred star image with an estimated PSF to calculate the star *** unique characteristic of star images different from general images is ignored in conventional *** addition,the error of motion blur parameters estimation and the approximate linear motion model can decrease the accuracy of star centroids *** paper proposes a method utilizing the prior Gaussian distribution information of star energy to deal with the motion blurred star *** experimental results demonstrate that the proposed method gets smaller error in star centroids calculation compared with the conventional estimation method.

关键词： Motion blur Star image restoration Centroid extraction Gaussian distribution Optimize

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Multi objective optimization based on SPEA for the microgrid energy dispatch

Multi objective optimization based on SPEA for the microgrid...

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Chinese control Conference

作者： Xiaomin Wu Weihua Cao Dianhong Wang Min Ding Hubei KEY Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China

Microgrid provides an effective technical approach for distributed generation system connected to the power grid. There are renewable sources such as wind power, photovoltaic in the microgrid, which the power volatility of distributed generation limits the effective scheduling and real-time performance of microgrid. Energy storage device is used to stabilize the volatility of distributed generation, make sure the feasibility of distributed generation optimal scheduling. Microgrid optimizes scheduling the energy allocation of various types of distributed generation in technology, economy, environment and other aspects. In order to solutio the multi objective optimization of microgrid energy allocation, a Strength Pareto Evolutionary Algorithm based optimal method was proposed. Finally, the correctness and feasibility of the proposed method were verified through the simulation.

关键词： Microgrids Distributed power generation Optimization Batteries Solar power generation Generators

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Exponential input-to-state stability of stochastic fuzzy delayed Cohen-Grossberg neural networks under impulsive perturbations

Exponential input-to-state stability of stochastic fuzzy del...

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第37届中国控制会议

作者： Weisong Zhou Hao Zeng Donghai Wu Key Lab of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and Telecommunications

In this paper,we study a class of stochastic fuzzy delayed Cohen-Grossberg neural networks under impulsive *** Razumikhin method and iteration technique,some sufficient conditions ensuring the mean-square exponential input-to-state stability of the designed delayed neural networks are *** results can generalize and improve some earlier publications.A numerical example is demonstrated to verify the theoretical results.

关键词： Impulsive Stochastic Cohen-Grossberg neural networks Exponential input-to-state stability

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Hexagon-Shaped Screw Recognition and Positioning system Based on Binocular Vision

Hexagon-Shaped Screw Recognition and Positioning System Base...

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第37届中国控制会议

作者： Fang Wang Xin Chen Chang Tan Jinbin Li Yaodong Zhang School of Automation China University of Geoscience Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems State Grid Hubei Electric Power Research Institute

Traditional artificial live work asks for a high standard with operator’s mental state and technical level in high-voltage and strong-magnetic environment,which not only reduces the efficiency of modern production and living but also causes potential threats to the safety of ***,developing robot live work has great significance for both academic research and industrial applications.A key problem of the live work for an industrial robot is recognition and positioning of the hexagonshaped screw in substation with high *** solve this problem,this article designs a hexagon-shaped screw recognition and positioning system based on binocular vision in transformer substation.A method for stereo matching including 3 steps is proposed:edge noise of the target is reduced by median filter at the beginning;then the target can be obtained through the image segmentation method of adjusting threshold;further moments are used to express the centers of hexagons in 2 images which work as stereo matching *** depth information can be obtained due to visual geometric relationships based on stereo model and camera calibration parameters based on camera *** experiment results show that the binocular system designed in this article can accurately identify the target with good stability,and the measurement error is controlled in 4%.

关键词： Binocular stereo vision Image segmentation Stereo matching Depth information

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