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18th Pacific Asia Conference on Information systems, PACIS 2014

作者： Qin, Rui Yuan, Yong Li, Juanjuan 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

In search auctions, when the total budget for an advertising campaign during a certain promotion period is determined, advertisers have to distribute their budgets over a series of sequential temporal slots (e.g., daily budgets). However, due to the uncertainties existed in search markets, advertisers can only obtain the value range of budget demand for each temporal slot based on promotion logs. In this paper, we present a stochastic model for budget distribution over a series of sequential temporal slots during a promotion period, considering the budget demand for each temporal slot as a random variable. We study some properties and present feasible solution algorithms for our budget model, in the case that the budget demand is characterized either by uniform random variable or normal random variable. We also conduct some experiments to evaluate our model with the empirical data. Experimental results show that the budget demand is more likely to be normal distributed than uniform distributed, and our strategy can outperform the baseline strategy commonly used in practice.

关键词： Marketing

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Sliding Mode control Using linear extended state observer(LESO) and hysteresis compensator based on Bouc-Wen model in sinusoidal position control of a piezoelectric actuator

Sliding Mode Control Using linear extended state observer(LE...

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Chinese control Conference (CCC)

作者： Zhi Qiao Minggang Gan Chenyi Wang School of Automation Beijing Institute of Technology Beijing Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing

In this paper, a sliding mode control using LESO coupled with an inverse hysteresis compensator is proposed for the motion tracking control of a microposition system with piezoelectric actuator(PEA). The inverse hysteresis compensator is involved in eliminating the hysteresis nonlinearity reducing the nonlinear system to a linear system. Then, a sliding mode controller combining with LESO is adopted to handle all the unmodeled dynamics and disturbances, with an intention of improving and enhancing the dynamic performance and the robustness of system. The feasibility of the proposed control scheme is verified by experiment of a PEA. The result shows that when faced with a fast-rate control input, the proposed method can also ensure the system a good performance.

关键词： Hysteresis Mathematical model Data models Robustness Computational modeling Sliding mode control

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Teleoperation of a Virtual iCub Robot under Framework of Parallel System via Hand Gesture Recognition

Teleoperation of a Virtual iCub Robot under Framework of Par...

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IEEE International Conference on Fuzzy systems

作者： Chen Li Hongbin Ma Chenguang Yang Menyin Fu School of Automation as well as State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479920747

This paper describes our preliminary development of a virtual robot teleoperation platform based on hand gesture recognition using visual information. Hand gestures in images captured by a camera are recognised to control a virtual iCub. We employ two methods to realise the classification: Adaptive Neuro-fuzzy Inference systems (ANFIS) and Support Vector Machines (SVM). We realise the teleoperation of a virtual robot using iCubSimulator. The technique in the paper will enable us to teleoperate a physical robot in the future work. In addition, a video server is set up to monitor the real robot. By using the parallel system we are able to improve the robot's performance. Based on the techniques presented in this paper, the virtual iCub can perform the specified actions remotely in a natural manner.

关键词： Solid modeling Mathematical model MATLAB Robot kinematics Gesture recognition Fuzzy logic

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A new control method of quadruped robot walking on rough terrain based on linear inverted pendulum method

A new control method of quadruped robot walking on rough ter...

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IEEE International Conference on Robotics and Biomimetics

作者： Xin Li Junyao Gao Qiang Huang Haojian Lu Zhe Xu Yi Liu Intelligent Robotics Institute Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

ISBN: (纸本)9781479973989

This paper proposes a new method of linear inverted pendulum control, which is used to control the quadruped robot walking on regular uneven terrain such as ramp and stair, furthermore, this method can be applied to a more rugged terrain. This paper analyzes the dynamic parameters of a quadruped robot walking on the complex terrain, which means the supporting points of the robot lie in different heights relative to the level ground. In order to ensure the same leg length, there will be energy dissipation caused by the raise of the center of mass. Therefore this paper proposes a dual length linear inverted pendulum method (DLLIPM), which not only effectively reduces the energy dissipation, but also promotes the workspace utilization. In addition, Newton-Raphson algorithm is used to optimize the linear inverted pendulum movement, which makes the movement symmetrical and smooth. Finally this paper presents simulation results with DLLIPM on a quadruped robot with 16 degrees of freedom.

关键词： Legged locomotion Foot Trajectory Mathematical model Robot sensing systems

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Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects

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Journal of systems Engineering and Electronics 2013年第4期24卷 655-665页

作者： Fang Deng Jie Chen Chen Chen School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

An adaptive unscented Kalman filter （AUKF） and an augmented state method are employed to estimate the timevarying parameters and states of a kind of nonlinear high-speed objects. A strong tracking filter is employed to improve the tracking ability and robustness of unscented Kalman filter （UKF） when the process noise is inaccuracy, and wavelet transform is used to improve the estimate accuracy by the variance of measurement noise. An augmented square-root framework is utilized to improve the numerical stability and accuracy of UKF. Monte Carlo simulations and applications in the rapid trajectory estimation of hypersonic artillery shells confirm the effectiveness of the proposed method.

关键词： parameter estimation state estimation unscented Kalman filter （UKF） strong tracking filter wavelet transform.

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Event-Triggered Networked Predictive controller Design for Linear systems with Communication Delay

Event-Triggered Networked Predictive Controller Design for L...

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第三十三届中国控制会议

作者： Di Wang Jian Sun Jie Chen School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479947249

This paper is concerned with the controller design for networked control systems(NCSs). A novel eventtriggered networked predictive control scheme is proposed to compensate for the network-induced delay and save network bandwidth. The closed-loop system is modeled as a switched system with time-varying delay. By constructing a common Lyapunov function, a sufficient stability condition is derived and presented in terms of linear matrix inequalities(LMIs). In order to prove the validity of the proposed method, both a simulation and an experiment are carried out. Both simulation results and experimental results show that this method can compensate for the network-induced delay actively and reduce the burden of the network significantly.

关键词： Networked control system,Networked predictive control,Event-triggered control,Lyapunov function

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Further Improvements in Stability Analysis of Linear systems with Interval Time-varying Delay

Further Improvements in Stability Analysis of Linear Systems...

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第25届中国过程控制会议

作者： Jian Sun Sheng-Lan Xiao School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

This paper is concerned with the stability analysis problem of a linear system with interval time-varying delay.A new augmented Lyapunov functional is proposed which contains some triple integral terms and uses the information about the interval delay appropriately.A recently proposed Wirtinger-based integral inequality is used to estimate the derivative of the Lyapunov *** conservative stability conditions are obtained and expressed in terms of linear matrix inequalities(LMIs).Finally,two numerical examples are given to confirm the efficacy of the proposed method.

关键词： Time-delay system,Delay-dependent stability,Interval delay,Linear matrix inequality

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Cooperative Adaptive Fuzzy control of High-Order Nonlinear Multi-Agent systems with Unknown Dynamics

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IFAC Proceedings Volumes 2014年第3期47卷 9774-9779页

作者： Jie Huang Hao Fang Jie Chen Lihua Dou Fang Deng School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China Fujian Institute of Education Fuzhou 350025 China

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.

关键词： Multi-agent systems Distributed control Consensus High-order Backstepping Fuzzy logic systems

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Fast trajectory planning of reactive operation considering manipulability for a humanoid

Fast trajectory planning of reactive operation considering m...

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World Congress on intelligent control and Automation (WCICA)

作者： Yan Liu Jing Li Zhangguo Yu Wen Zhang Qiang Huang Xuechao Chen Gan Ma Libo Meng Si Zhang Fei Meng Weimin Zhang Junyao Gao Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

For humanoid robots, there exist a class of challenging tasks, e.g. playing table tennis, which are non-repeatedly, triggered randomly by sensor events, and compelling the robots to produce reactive operations in very short time. Additionally, some key poses of the robot are partially constrained to accomplish the operations, and are usually adjusted during the operation execution. In this paper, efforts are made to generate trajectory for these operations. Firstly, an extended manipulability index is proposed to optimize the key poses so that the humanoid robot has the manipulability considering joint limits at the key poses, which makes it convenient to adjust the trajectory. Secondly, a fast approach to generating the whole trajectory consisting of all the key poses and the strategies to realize the trajectory adjustment when specifications change are proposed. Finally, the ZMP (Zero Moment Point) displacement excited by the reactive operations is also given to decide whether the generated trajectory is feasible. The effectiveness of the method is demonstrated through simulations.

关键词： Trajectory Joints Humanoid robots Indexes Jacobian matrices Optimization

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Improving Constraint Handling for Multiobjective Particle Swarm Optimization

Improving Constraint Handling for Multiobjective Particle Sw...

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第三十三届中国控制会议

作者： Erdong Yu Qing Fei Hongbin Ma Qingbo Geng School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781479947249

In this paper,a novel particle swarm algorithm for solving constrained multiobjective optimization problems is *** new algorithm is able to utilize valuable information from the infeasible region by intentionally keeping a set of infeasible solutions in each *** enhance the diversity of these preserved infeasible solutions,a modified version of adaptive grid is *** addition,a voting mechanism is designed to balance the preference of infeasible solutions with smaller constraint violation and the exploration of the infeasible *** effectiveness of the proposed method is validated by simulations on several commonly used benchmark *** using the hypervolume indicator,it is shown that the proposed algorithm is more powerful than two other state-of-the-art algorithms.

关键词： multiobjective,constraint handling,particle swarm optimization,adaptive grid,voting mechanism

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