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A Model-based Demand-balance control for complex Urban traffic Networks

A Model-based Demand-balance Control for Complex Urban traff...

17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Shu Lin Qing-Jie Kong School of Computer and Control Engineering University of Chinese Academy of Sciences Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control framework for complex traffic networks,we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model,which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the *** transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller,and a global optimality can be achieved for the entire traffic *** simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.

关键词： A Model-based Demand-balance control for complex Urban traffic Networks MFD Model

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A Two-stage Fuzzy Budget Allocation Model in Search Auctions

A Two-stage Fuzzy Budget Allocation Model in Search Auctions

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Budget optimization is an important issue faced by advertisers in search auctions,and has significant impact on the design of various advertising *** a limited budget on a search market during a certain period,an advertiser has to distribute her budget to a series of sequential temporal slots(i.e.,days,weeks,or months),during which advertisers must avoid the budget being used up quickly,so as to keep the budget for potential clicks with better performance in the *** the optimal budgets over these temporal slots as fuzzy variables,we establish a two-stage fuzzy budget allocation model,and use particle swarm optimization(PSO)algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy *** also conduct experiments to validate our model and *** experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： budget optimization budget allocation sponsored search auctions two-stage fuzzy programming PSO

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Dual adaptive control of bimanual manipulation with online fuzzy parameter tuning

Dual adaptive control of bimanual manipulation with online f...

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IEEE International Symposium on intelligent control (ISIC)

作者： Alex Smith Chenguang Yang Hongbin Ma Phil Culverhouse Angelo Cangelosi Etienne Burdet Center for Robotics and Neural Systems Plymouth University Devon UK Key Laboratory of Autonomous System and Network Control South China University of Technology Guangzhou P. R. China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Bioengineering Imperial College London UK

A biomimetic controller with online adaptation of impedance and force is applied to a full kinematic and dynamic model of the Baxter bimanual robot. A set of fuzzy logic engines are proposed to infer the values of tuning gains which affect the control performance and control effort of the controller, which would conventionally be set to a static value based on expert knowledge of the controller; the aim of this being to avoid the use of arbitary values to set these values. A simulated experiment is carried out, where the Baxter robot is required to move an object through a trajectory while subjected to two different disturbance forces in four phases. The controller with fuzzy inferred control gains is compared against the same controller with fixed gains to gauge the effectiveness of the new method. Results show that fuzzy inference of control gains impart an improvement in both tracking error and control effort.

关键词： Trajectory Fuzzy logic Force Dynamics Mathematical model Manipulators

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Decentralized Filtering a Multi-Agent System with Local Parametric Couplings Based On Kalman Filter

Decentralized Filtering a Multi-Agent System with Local Para...

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第25届中国控制与决策会议

作者： Yini Lv Hongbin Ma Mengyin Fu Chenguang Yang Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institution of Technology School of Computing and Mathematics Plymouth University

ISBN: (纸本)9781467355339

In this paper, decentralized filtering of multiagent systems with coupling uncertainties is proposed and investigated. The considered multi-agent system is composed of many agents, each of which evolves with a discrete-time stochastic linear time-varying dynamics, and every agent can be locally influenced by its neighbor agents. Therefore the states evolution of each agent is not only related with its previous states but also related with its neighbors' previous states in the linear dynamic system. Communication limitations existing in the considered multi-agent system restrict that each agent can only observe its own measurements (outputs) and its neighbor agents' outputs while the states are invisible to any agent. Because of communication limitations and information constraints, without knowing the coupling gains of the local interactions, it is not easy for each agent to estimate its states by traditional kalman filter or other state observers, which were extensively discussed in the literature. In this preliminary study, for the considered coupled linear discrete-time multiagent system with uncertain linear local couplings, based on the key idea of state augmentation and the certainty-equivalence principle borrowed from the area of adaptive control, we propose an efficient decentralized kalman filtering scheme, for each agent, to simultaneously estimate the unknown states and coupling parameters, and extensive simulations are conducted, which have clearly verified the effectiveness of the proposed decentralized filtering scheme.

关键词： multi-agent system, kalman filter, parametric couplings, parameter estimation, states estimation, decentralized filtering

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A Dual-Motor Joint Model for Humanoid Robots

A Dual-Motor Joint Model for Humanoid Robots

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第25届中国控制与决策会议

作者： Jingtao Xue Xiaopeng Chen Ye Tian Zhangguo Yu Fei Meng Qiang Huang IRI School of Mechatronic Engineering Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (纸本)9781467355339

To make humanoid robots walking fast, it's important to improve driving force of their leg joints. Usually, each joint of humanoid robots is driven by a single motor. Dual-motor joint, on the other hand, is one of the candidate solutions to meet the power requirement needed for fast walking. This paper proposed a new dual-motor control model. In the model, two motors are treated as a single control plant instead of two parallel control plants. With the usage of current distributor, the control model can pump different current to each motor freely so as to eliminate the unbalance of the load imposed on each motor. Simulation and experiment show that the proposed model works well under high joint load and it can be used on a fast walking humanoid robot.

关键词： Humanoid robot, dual motor, control model

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Second-order time-varying sliding mode control for reentry vehicle

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International Journal of intelligent Computing and Cybernetics 2013年第3期6卷 272-295页

作者： Jie Geng Yongzhi Sheng Xiangdong Liu Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of TechnologyMinistry of EducationBeijingPeople’s Republic of China

Purpose-The purpose of this paper is to design a global robust and continuous control scheme for the attitude tracking control problem of the reentry vehicle with parameter uncertainties and ***/methodology/approach-First,feedback linearization is applied to the model of reentry vehicle,resulting in three independent uncertain *** a new second-order time-varying sliding function is proposed,based on which a continuous second-order time-varying sliding mode control(SOTVSMC)law is proposed for each *** global robustness and convergence performance of the closed-loop reentry vehicle control system under the proposed control law are ***-Simulation is made for a reentry vehicle through the assumption that there is external disturbance to aerodynamic moment and the aerodynamic parameters as well as the atmospheric density are *** results verify the validity and robustness of the proposed ***/value-The SOTVSMC attitude controller based on feedback linearization is proposed for the reentry *** advantages of the proposed SOTVSMC are ***,the global second order sliding mode is established,which implies that the closed-loop system is global robust against matched parameter uncertainties and disturbances in ***,the chattering problem is significantly alleviated.

关键词： Flight control Nonlinear control Real-time systems Robust control Variable structure control

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A two-stage fuzzy budget allocation model in search auctions

A two-stage fuzzy budget allocation model in search auctions

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

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given a limited budget on a search market during a certain period, an advertiser has to distribute her budget to a series of sequential temporal slots (i.e., days, weeks, or months), during which advertisers must avoid the budget being used up quickly, so as to keep the budget for potential clicks with better performance in the future. Considering the optimal budgets over these temporal slots as fuzzy variables, we establish a two-stage fuzzy budget allocation model, and use particle swarm optimization (PSO) algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy variables. We also conduct experiments to validate our model and algorithm. The experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： Artificial intelligence

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Second-Order Time-Varying Sliding Mode control for Uncertain systems

Second-Order Time-Varying Sliding Mode Control for Uncertain...

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第25届中国控制与决策会议

作者： Jie Geng Yongzhi Sheng Xiangdong Liu Bing Liu School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467355339

A novel second-order time-varying sliding mode control(SOTVSMC) law is proposed for the robust tracking control problem of nonlinear smooth single-input single-output(SISO) system with disturbance. The advantages of the proposed SOTVSMC are twofold. The global second order sliding mode is established, which implies that the closed-loop system is global robust against matched parameter uncertainties and disturbances. Meanwhile, the chattering problem is significantly alleviated. Then the parameter of the sliding mode is obtained by solving an optimal problem. Finally, the effectiveness and robustness of the control strategy is demonstrated by simulation results.

关键词： Sliding Mode control, Nonlinear systems, Global Second Order Sliding Phase, Chattering Alleviation

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Analysis and Testing of Delay in HLA-based Distributed Simulation System

Analysis and Testing of Delay in HLA-based Distributed Simul...

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第25届中国控制与决策会议

作者： Chen Chen Lu Chao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467355339

Time is a significant concept in distributed *** the increment of simulation system scale, working efficiency of simulation system will go down very sharply due to the restrictions of time management tactics and time sequence coupling. Therefore, it is necessary to study the characteristics of delay in simulation system to improve its working effeciency. Aiming at HLA-based distributed simulation system, causes of simulation delay is analysed and principles of delay testing is explained. A method which employs synchronization point setting and an effective wall clock time querying approach is put forward. Statistics and analysis of message interaction delay is executed on the software platform of pRTI 1.3 version. The measurement of delay lays an important data foundation for time management algorithms.

关键词： Distributed Simulation System, Delay Testing, High Level Architecture, Synchronization Point.

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The SDRE based Second Order Integral Sliding Mode control for Attitude of Reentry Vehicle

The SDRE based Second Order Integral Sliding Mode Control fo...

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第三十二届中国控制会议

作者： GENG Jie SHENG Yongzhi LIU Xiangdong WANG Liang School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781479900305

In this paper,a state dependent Riccati equation-based second order integral sliding mode control(SSOISMC) algorithrn is proposed for the reentry vehicle with a strong conpling,nonlinearity and ***,the state dependent Riccati equation(SDRE) controller is developed to approach the attitude controller for the nonlinear reentry vehicle without uncertainties. Then the second order integral sliding mode control theory is proposed to combine sliding mode with SDRE,and it is applied to reentry vehicle with parameter variations or external *** achievement of the second order sliding phase is *** the proposed control law,the optimal performance index is achieved and the uncertainties are rejected,furthermore, the chattering is ***,simulation is made through the assumption that aerodynamic parameters and atmospheric density are *** validity and robustness of the proposed strategies are verified by simulation results.

关键词： Flight vehicle control State dependent Riccati equation(SDRE) Second order integral sliding mode

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