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检索条件"机构=School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems"

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State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

State Estimation of Finite-State Hidden Markov Models Subjec...

引用

IEEE Annual Conference on decision and control

作者： Wentao Chen Junzheng Wang Ling Shi Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.

关键词： State estimation Hidden Markov models Event trigger Probability distribution Mean square error numerical example

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A Vision-Based Recognition Method for Transformer Based on AdaBoost and Multi-Template Matching

A Vision-Based Recognition Method for Transformer Based on A...

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IEEE International Conference on Cyber Technology in automation, control, and intelligent systems

作者： Yang Wu Hongkai Chen Xiaoguang Zhao Yongjie Zhai School of Control and Computer Engineering North China Electric Power University The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479987313

With the smart monitoring being widely concerned recently, substations have been introducing smart monitoring system. In this paper, we propose a vision-based recognition method for transformers in substation via combining with AdaBoost and a multi-template matching method. The proposed method works by dividing the whole process into two parts, namely coarse detection and fine recognition. In coarse detection, haar features of training samples in each sub-region are extracted and then AdaBoost algorithm is utilized for training and detecting. After coarse detection, we then perform fine recognition using multi-template matching with histogram intersection. Experimental results demonstrate that our method has a higher recognition precision and it is superior and more effective than the conventional AdaBoost method.

关键词： Transformer recognition Haar-like features AdaBoost Multi-template matching Transformer ADABOOST Recognition (Psychology) TEMPLATE MATCHING subregion Substations monitoring systems

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Distributed tracking for multiple lagrangian systems using only position measurements 19

Distributed tracking for multiple lagrangian systems using o...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, Qingkai Zhou, Fengyi Chen, Jie Li, Xin Fang, Hao School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China

ISBN: (纸本)9783902823625

This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To overcome the problem that only positions are measured, a observer is designed to estimate the velocity for each follower. By employing the estimated states, the distributed observer-based controller is proposed using only position measurements. Furthermore, the condition for the distributed tracking problem on the directed graph is derived, such that the tracking errors and observer errors semi-globally converge to zero. Finally, simulation examples are provided to show the effectiveness of the proposed control algorithms. © IFAC.

关键词： Multi agent systems

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Design and implement of intelligent human-computer interface on vehicles based on event-driven 10

Design and implement of intelligent human-computer interface...

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Joint International Conference of the 10th China-Japan International Workshop on Information Technology and control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014

作者： Zhang, Jia Xu, Sheng-Li Deng, Fang School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China

An event-driven on-vehicle intelligent human-computer interface has been proposed to solve the issue about complex on-vehicle human-computer interaction. After the demand analysis of human-computer interaction under the vehicle platform, the framework of intelligent human-computer interface is established, the role of the various modules and workflow in the system are designed, and the reasoning feature which based on fuzzy cognitive map is implemented. The on-vehicle intelligent human-computer interface can help the user to complete the interactive operate which is unrelated to the driving operations. Furthermore, it can analyze the whole information and predictive the information required by the user. At last, it can display the information on the interface. So, the on-vehicle intelligent human-computer interface can both to meet the user's demand for secondary interactive tasks, and can ensure the driving performance and safety.

关键词： Human computer interaction

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Multi-Channel Ad Inventory Allocation in Real-Time Bidding Advertising Market

Multi-Channel Ad Inventory Allocation in Real-Time Bidding A...

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第七届社会计算会议

作者： Li Juanjuan Yuan Yong Qin Rui The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190China Qingdao Academy of Intelligent Industries Qingdao Shandong266109China

Real-time bidding(RTB)advertising is a promising business model emerging with the integration of big data and online *** on analysis of Web users' Cookie data,RTB has the potential of identifying target audiences and delivering best matched ads in real time,and also enabling advertisers bid for each matched ad impression via auction-based programmatic buying *** RTB markets,publishers are suppliers of ad impressions(or ad inventory),and typically they have multiple channels to sell these ad *** this paper,we analyze three commonly-used strategies for publishers to allocate the ad inventory,i.e.,the offline guaranteed contract,the online RTB channel,and the hybrid *** explicitly take the quality of ad impressions into consideration,since it is a key parameter for publishers' decision when choosing a proper channel to sell these ad *** establish models to optimize the reserve price for maximizing the revenue of those publishers choosing the online RTB channel and the hybrid *** also compared these three strategies in pursuit of finding the proper strategy for publishers when selling ad impressions with different qualities.

关键词： Real-time bidding ad inventory allocation reserve price ad impression quality

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Online critic-identifier-actor algorithm for optimal control of nonlinear systems

Online critic-identifier-actor algorithm for optimal control...

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International Conference on intelligent control and Information Processing (ICICIP)

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

In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coefficient matrix for affine nonlinear system working together with an actor-critic-based scheme to solve the optimal control in online and forward-in-time manner without value or policy iterations. A critic network learns approximate value function at each step. Another actor network attempts to improve the current policy based on the approximate value function. The weights of all neural networks (NNs) are updated at each sampling instant. Lyapunov theory is utilized to prove the stability of the closed-loop system. A simulation example is provided to illustrate the effectiveness of the developed method.

关键词： Optimal control Artificial neural networks Nonlinear systems Discrete-time systems Mathematical model Estimation error

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A Positioning Algorithm of Autonomous Car Based on Map-matching and Environmental Perception 33

A Positioning Algorithm of Autonomous Car Based on Map-match...

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第三十三届中国控制会议

作者： XU Qian WANG Meiling DU Zhifang ZHANG Yi School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex System Chongqing Jialing Huaguang Photoelectric Technology Co.Ltd.

ISBN: (纸本)9789881563842

Autonomous car is an important tool for transportation and military in the future,and its precise positioning is the basis of autonomous *** positioning algorithms based on map-matching for autonomous car make little use of environmental perception *** solve this problem,a positioning algorithm is proposed in this paper,which is based on map-matching and environmental perception for autonomous *** algorithm includes macroscopic road matching and microscopic precise *** for macroscopic road matching,the algorithm makes use of computational geometry to match the position of autonomous car to the corresponding road,based on GPS point and map information of the road *** for microscopic precise positioning,the algorithm makes use of the environmental perception,which is detected by the autonomous car to make precise *** road matching provides matching road to microscopic precise positioning,and microscopic precise positioning eliminates gross error produced in macroscopic road *** real car tests,the algorithm can match map quickly,improving the positioning precision with strong real-time.

关键词： Autonomous car,Map-matching,Environmental perception,Computational geometry

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Cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems with unknown dynamics 19

Cooperative adaptive fuzzy control of high-order nonlinear m...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Huang, Jie Fang, Hao Chen, Jie Dou, Lihua Deng, Fang School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China Fujian Institute of Education Fuzhou350025 China

ISBN: (纸本)9783902823625

This paper focuses on the cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems. The communication network is a undirected graph with a fixed topology. Each agent is modeled by a high-order integrator incorporating with unknown nonlinear dynamics and an unknown disturbance. Under the backstepping framework, a robust adaptive fuzzy controller is designed for each agent such that all agents ultimately achieve consensus. Moreover, these controllers are distributed in the sense that the controller design for each agent only requires relative state information between itself and its neighbors. A four-order simulation example demonstrates the effectiveness of the algorithm. © IFAC.

关键词： Multi agent systems

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Design and Implementation of the Knowledge Base for Battlefield Task Management System 33

Design and Implementation of the Knowledge Base for Battlefi...

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第三十三届中国控制会议

作者： Zhang Jia Wang Xiang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education

ISBN: (纸本)9781479947249

In order to reduce the operators on the battlefield, and obtain adequate knowledge and improve reaction speed to enhance combat efficiency, the paper builds a knowledge base of battlefield mission management system to manage a variety of required knowledge on the battlefield and supervise each mission profile. Knowledge is presented by production method and is reasoned by forward reasoning method. According to different levels of battlefield tasks, task links are used to organize knowledge. Take combat preparation mission profile as an example, we design every data sheet of the knowledge base. The knowledge base of the battlefield management system could enhance the reusability, sharing and timeliness of knowledge on the battlefield.

关键词： Battlefield Task Management Knowledge Base Task Links Mission Profile

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Distributed adaptive tracking on Lagrangian systems with reduced interaction 11

Distributed adaptive tracking on Lagrangian systems with red...

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2014 11th World Congress on intelligent control and automation, WCICA 2014

作者： Liu, Yuchen Fang, Hao Mao, Yutian School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781479958252

In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fraction of agents within the leader's communication range are informed about the position of the leader. Without using the leader's velocity information, a connectivity-preserving adaptive controller is proposed to achieve tracking control on Lagrangian systems with the leader of constant velocity. Moreover, position and velocity consensus can be achieved asymptotically with the proposed control strategy. Numerical simulations are further provided to illustrate the theoretical results. © 2014 IEEE.

关键词： Adaptive control systems

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