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第35届中国控制会议

作者： Qiwen Hou Wenjie Chen HuiLin Gao School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

In this paper,we propose an improved part-based tracking method based on compressive *** traditional compressive tracking can hardly deal with occlusion and scale variation,which is not robust enough in these *** our part-based method,the occluded image patches which are selected by K-means are not able to participate in determining the location of the target in order to increase tracking *** solve the problem of scale variation,an algorithm is proposed to estimate the size of target with the information of the whole *** addition,we also use the positions of every part to help us to get a precise size of the *** the combination of two methods,the scale of the target is *** compared with five state-of-the-arts have been done to prove the effectiveness and robustness of our method.

关键词： compressive sensing part-based tracking occlusion handling scale estimation

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Disturbance prediction based active disturbance rejection control approach

Disturbance prediction based active disturbance rejection co...

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第35届中国控制会议

作者： Chongling Li Tao Cai Zeyu Han School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

Disturbance widely exists in control *** disturbance rejection control(ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in *** most important part of ADRC is extended state observer(ESO),which estimates the states of system and total *** regards internal disturbance and external disturbance as a total disturbance,estimates it and eliminates it in the *** faster ESO estimates total disturbance,the more quickly controller eliminates *** paper focuses on the discrete linear extended state observer(DLESO),and presents discrete predictive linear extended state observer(DPLESO).Stability and performances are *** result shows that DPLESO has better performances for disturbance rejection than DLESO.

关键词： disturbance discrete ADRC LESO predictive linear extended state observer

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Discrete-time Networked control systems under Stochastic Scheduling Constraints

Discrete-time Networked Control Systems under Stochastic Sch...

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第35届中国控制会议

作者： Kun Liu Xia Pan Yang Liu Yuanqing Xia School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781509009107

This paper extends the time-delay approach to discrete-time networked control systems with multiple sensor nodes that are subject to time-varying transmission intervals,time-varying transmission delays and communication *** system sensor nodes are supposed to be distributed over a *** scheduling of sensor communication is ruled by an independent and identically-distributed stochastic *** activation probability of each sensor node is a given constant,whereas it is assumed that collisions occur with a certain *** closed-loop system is modelled as a discrete-time stochastic hybrid system with time-varying delays in the dynamics and in the reset *** Lyapunov method a new condition is derived for the exponential mean-square stability of the delayed hybrid systems with respect to the full state and not only to the partial *** communication delays are allowed to be greater than the sampling *** efficiency of the proposed method is illustrated on the example of cart-pendulum.

关键词： Discrete-time networked control multiple sensors large communication delays stochastic protocol Lyapunov method

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Integrated 3-D Flight Trajectory Tracking control with Aerodynamic Constraints on Attitude and control Surfaces

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Asian Journal of control 2017年第5期20卷

作者： Xueyuan Wang Hao Fang Lihua Dou Jie Chen Bin Xin Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 China

In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an integrated trajectory tracking control algorithm is proposed to exploit beneficial relationships among interacting subsystems. The high-order aerodynamic model is first transformed into a quasi-strict-feedback form. Then, backstepping technique is utilized to resolve the coupling effect problem of three control channels resulting from the bank-to-turn (BTT) control mode. In addition, command filters are introduced to handle state and actuator constraints caused by the physical limitations and the coordinated turn requirement. Furthermore, the uncertain aerodynamic force and moment coefficients are reconstructed by using the B-spline neural network approximation and adaptive learning approaches. With Lyapunov stability analysis, all the states in the closed-loop system are shown to be semi-globally uniformly ultimately bounded (SUUB), and the tracking errors will asymptotically converge into a small compact set around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

关键词： Trajectory tracking high-order nonlinear system backstepping B-spline neural network

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Cloud control systems

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IEEE/CAA Journal of Automatica Sinica 2015年第2期2卷 134-142页

作者： Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future. © 2014 Chinese Association of automation.

关键词： Big data Cloud computing Computation theory control systems control theory controllers Data handling Distributed computer systems Embedded systems Internet of things

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Modified EKF-based Nonlinear Filtering over Wireless Channels with Transmission Failure and Fading

Modified EKF-based Nonlinear Filtering over Wireless Channel...

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第35届中国控制会议

作者： Luyu Li Zhen Li Xiangdong Liu Yongzhi Sheng School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781509009107

This paper addresses the stochastic stability problem of a modified extended Kalman filter(MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error ***, a numerical example is given to demonstrate the feasibility of the proposed method.

关键词： Extended Kalman filter stochastic stability transmission failure fading

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H∞ Polytopic Filter Design for Nonlinear systems

H∞ Polytopic Filter Design for Nonlinear Systems

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第35届中国控制会议

作者： Yin Yu Zhen Li Jian Li Luyu Li Xiangdong Liu School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology

This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities（LMIs） so that the polytopic lter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product（TP） model transformation is utilized to compute the polytopic approximation of the nonlinear system. Particularly, a new recti cation procedure is further developed to obtain a specific polytopic approximation with all the vertex systems being stable, which premises the solvability of the LMIs. The method is much easier to be implemented than traditional approaches such as the Hamilton-Jacobi inequality（HJI）-based methods. Simulation demonstrates the method is much less conservative than the existing method and has good estimation performance.

关键词： H_∞ lter nonlinear systems polytopic model tensor product model transformation

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Application of fuzzy cognitive map in information intelligent push

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Journal of Beijing Institute of Technology 2015年第4期24卷 553-557页

作者：张佳徐胜利邓方 School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems

Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent push technology could replace the traditional method to speed up the information retrieval process. The fuzzy cognitive map has strong knowledge representation ability and reasoning capability. Information intelligent push with the basis on fuzzy cognitive map could ab- stract the computer user＇ s operations to a fuzzy cognitive map, and infer the user＇ s operating inten- tions. The reasoning results will be translated into operational events, and drive the computer system to push appropriate information to the user.

关键词： fuzzy cognitive map artificial intelligence information intelligent push

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PSO-based design of PID controller with notch filter for flexible structures 7

PSO-based design of PID controller with notch filter for fle...

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7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016

作者： Zhang, Xuenan Hong, Juan Song, Zhuoyue State Key Laboratory of Intelligent Control and Decision of Complex Systems Ministry of Education of China China School of Automation Beijing Institute of Technology No.5 South Venue of ZhongGuan Village Beijing100081 China Beijing Institute of Aerospace Control Devices No.52 YongDing Road 100143 China

ISBN: (纸本)9784990534349

This paper addresses the tuning problem of a proportional-integral-derivative(PID) controller with notch filter for flexible space structure model based on the particle swarm optimization (PSO). For flexible structures, once vibration occurs, PID controller often fails to suppress the high amplitude and high order vibration in the system. Notch filter is used to minimize the effect of bending vibration caused by flexible structure but it may decrease of stability margin. In order to minimize the effect of bending vibration and guarantee both stability margin and time response performance at the same time, PSO algorithm is introduced to optimize both the PID controller and notch filter parameters. Simulation results demonstrate the effectiveness of the proposed design strategy. © 2016, Fuji Technology Press. All rights reserved.

关键词： Flexible structures

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Motion trajectory design for underactuated three-link gymnast robot

Motion trajectory design for underactuated three-link gymnas...

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Asian control Conference

作者： Ancai Zhang Jinhua She Jianlong Qiu Chengdong Yang Lan Zhou School of Automation and Electrical Engineering Linyi University Linyi Shandong China Key Laboratory of Complex Systems and Intelligent Computing Universities of Shandong Linyi Shandong China School of Automation China University of Geosciences Wuhan Hubei China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan School of Information Science and Engineering Linyi University Linyi Shandong China School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan Hunan China

ISBN: (纸本)9781509015740;9781509015733

This paper concerns the motion trajectory design for an underactuated three-link robot (UTGR). First, we design a controller for the UTGR system based on the system's dynamic structure characteristics. And then, the properties of closed-loop system are analyzed. After that, a motion trajectory of the UTGR is designed based on the analyzed properties and an inverted trajectory idea. The designed trajectory starts from the downward position and ends at the upward position. Tracking of this trajectory can enable the stabilization control objective of UTGR from the downward position to the upward position to be achieved. A numerical example demonstrates the effectiveness of our proposed theoretical results.

关键词： Trajectory Robots Closed loop systems Mathematical model Mechanical systems Tracking

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