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第35届中国控制会议

作者： Yuan Huang Junzheng Wang Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

In this work,an event-triggered high gain observer（ET-HGO） design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends on the triggering condition ***,in this work,for the high-gain observer considered,an event-triggered transmission strategy,which does not relies on the other system state but the output of the control system,is proposed such that the observation error is asymptotically ***,with mild restriction,the observation error is guaranteed to be bounded all the *** obtained theoretical results are evaluated through the numerical simulations.

关键词： High-gain observer event-triggered transmission state estimation

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Distributed computation of linear matrix equations: An optimization perspective

arXiv

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arXiv 2017年

作者： Zeng, Xianlin Liang, Shu Hong, Yiguang Chen, Jie Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Ministry of Education Beijing100081 China

This paper investigates the distributed computation of the well-known linear matrix equation in the form of AXB = F, with the matrices A, B, X, and F of appropriate dimensions, over multiagent networks from an optimization perspective. In this paper, we consider the standard distributed matrix-information structures, where each agent of the considered multi-agent network has access to one of the sub-block matrices of A, B, and F. To be specific, we first propose different decomposition methods to reformulate the matrix equations in standard structures as distributed constrained optimization problems by introducing substitutional variables;we show that the solutions of the reformulated distributed optimization problems are equivalent to least squares solutions to original matrix equations;and we design distributed continuous-time algorithms for the constrained optimization problems, even by using augmented matrices and a derivative feedback technique. Moreover, we prove the exponential convergence of the algorithms to a least squares solution to the matrix equation for any initial condition. Copyright © 2017, The Authors. All rights reserved.

关键词： Continuous time systems

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Modified gain-based lower bounds computation for the real structured singular value 7

Modified gain-based lower bounds computation for the real st...

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

作者： Gao, Linjie Song, Zhuoyue Zhang, Xuenan Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education of China China Beijing Institute of Technology No.5 South Venue of ZhongGuan Village Beijing100081 China

ISBN: (纸本)9784990534349

In this paper, a modified gain-based algorithm (GBA) is presented to calculate the lower bound for the real structured singular Value (μ) problem. The basic idea of GBA is reformulating the real μ problem into a related worst-case disturbance-error performance problem, then the standard lower bound algorithm for worst-case performance assessment is used for calculation of maximizer uncertainty which maximizes the disturbance-error gain, and next this maximizer uncertainty can be used to obtain the lower bound for real μ. In the initial gain-based algorithm previously suggested by Pete Seiler etal, the way disturbance inserted and the error pulled off is from one channel to one channel. In this proposed modified algorithm, the error signal is still pulled off from one channel, however, the disturbance is inserted into from a linear combination (summation) of all channels, hence the effect of signals from all channels are reflected into the error signal. Several test problems indicate that the modified gain-based algorithm has a better performance for pure real μ problems. © 2016, Fuji Technology Press. All rights reserved.

关键词： Errors

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Adaptive Robust Dead-Zone Compensation control of Electro-Hydraulic Servo Systems with Load Disturbance Rejection

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Journal of Systems Science & complexity 2015年第2期28卷 341-359页

作者： HE Yudong WANG Junzheng HAO Renjian Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

A backstepping method based adaptive robust dead-zone compensation controller is pro- posed for the electro-hydraulic servo systems （EHSSs） with unknown dead-zone and uncertain system parameters. Variable load is seen as a sum of a constant and a variable part. The constant part is regarded as a parameter of the system to be estimated real time. The variable part together with the friction are seen as disturbance so that a robust term in the controller can be adopted to reject them. Compared with the traditional dead-zone compensation method, a dead-zone compensator is incor- porated in the EH$S without constructing a dead-zone inverse. Combining backstepping method, an adaptive robust controller （ARC） with dead-zone compensation is formed. An easy-to-use ARC tuning method is also proposed after a further analysis of the ARC structure. Simulations show that the proposed method has a splendid tracking performance, all the uncertain parameters can be estimated, and the disturbance has been rejected while the dead-zone term is well estimated and compensated.

关键词： Adaptive robust control dead-zone servo systems tuning method. compensation disturbance rejection electro-hydraulic

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Process Noise Estimator Based on Observation Sequence and its Application on Inertial Navigation System

Process Noise Estimator Based on Observation Sequence and it...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Xiao Xuan Huang Kun Yang Liming Liang Yuan Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

Kalman filter has been extensively applied in vast areas. However, it is widely acknowledged that the performance of Kalman filter depends on the accuracy of priori information such as model structure, statistics information of process and observation noise. Obtaining the covariance matrix of process noise is difficult in some application *** such background, this paper presents a process noise estimation algorithm based on the noise observation sequence. By constructing a transform matrix and removing the state variables from the observation, the noise observation sequence can be established, through which the covariance matrix of process noise can be estimated. Comparing to conventional adaptive filter, this algorithm needs less calculation. Moreover,the noise estimation process is separated from Kalman filter thus ensures Kalman Filters independence and optimality. The simulation results show that the new algorithm can effectively estimate the process noise covariance, and remain uninfluenced by the initial condition.

关键词： Adapt Kalman filter noise estimate

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A Self-correcting Localization Approach for Automobile Robots Based on the Two Dimensional LADAR

A Self-correcting Localization Approach for Automobile Robot...

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第35届中国控制会议

作者： Jing Li Wenxue Liu Junzheng Wang Jianan Qiao Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

ISBN: (纸本)9781509009107

In this paper,a novel localization approach for autonomous mobile robots is *** can accomplish the all-terrain localization function with the laser radar(LADAR) and the inertial measurement unit(IMU).First of all,for the multiple-input nonlinear localization system,a fuzzy filter is built up to estimate the position of the mobile ***,an efficient evaluation index is raised to determine whether the landmarks extracted from the adjacent data frame are the same,which can help the mobile robot to realize the self-correction *** the final,the experiments in the real world are implemented to show the effectiveness of the proposed approach.

关键词： Localization SLAM Fuzzy filter Self-correcting Obstacle match

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Cooperative robust output regulation for second-order nonlinear multi-agent systems with an unknown exosystem

Cooperative robust output regulation for second-order nonlin...

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IEEE Annual Conference on decision and control

作者： Yi Dong Jie Chen Jie Huang Department of Automation Chinese University of Hong Kong Shatin N.T. Hong Kong State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong

The cooperative robust output regulation problem for a class of second-order nonlinear multi-agent systems with an exactly known exosystem has been studied recently. This paper further studies the same problem for a class of second-order nonlinear multi-agent systems subject to an unknown exosystem. We first show that the problem can be converted into the adaptive stabilization problem for a modified augmented system composed of the given multi-agent system and the distributed internal model. Due to the uncertain parameter in the exosystem, the augmented system is a nonlinear multi-input system with both dynamic and static uncertainties. By combining the adaptive control technique and the robust control technique, we solve our problem by a distributed adaptive robust state feedback controller.

关键词： Multi-agent systems Mathematical model Robustness Robust control Automation Electronic mail Nickel

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Optimal data integrity attack on actuators in Cyber-Physical Systems

Optimal data integrity attack on actuators in Cyber-Physical...

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American control Conference

作者： Guangyu Wu Jian Sun The Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology China

ISBN: (纸本)9781467386838

The security issues are of prime importance for Cyber-Physical Systems (CPSs). Most existing works mainly investigate the secure control schemes against malicious attackers. This article analyzes how to design an data integrity attack scheme from the viewpoint of an attacker. The formulation of our approach is basically similar to the one of conventional optimal control method, with different prerequisites and solutions. An output feedback control system under data integrity attacks on actuators is considered in this article. Our work is aimed at constructing an optimal feedback attack law to maximize the error between the attacked system's output and the healthy system's output. Numerical examples are presented to demonstrate the effectiveness of the proposed method.

关键词： Actuators Cyber-physical systems Optimal control Computer crime Jamming actuators Computer crime Cyber-physical systems jamming Data Quality Optimal control Feedback control systems

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A Navigation Map Building Algorithm using Refined RBPF-SLAM

A Navigation Map Building Algorithm using Refined RBPF-SLAM

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Mengyin Fu Hao Zhu Yi Yang Meiling Wang Zhihong Deng State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781467383196

This paper proposes a map building algorithm for navigation task of autonomous vehicle.A local 2D grid map is designed to convey three types of information(free space,obstacle and unknown).A refined RBPF-SLAM algorithm is established to build a large scale,accurate navigation *** obstacle information is excluded in the final map,which provides better performance in vehicle's online *** sets of experiments are carried out in two driving conditions,with one in urban traffic environment and the other in unstructured *** mapping and localization result testify the effectiveness of our algorithm.

关键词： frame A Navigation Map Building Algorithm using Refined RBPF-SLAM

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Motion Planning Method for Obstacle Avoidance of 6-DOF Manipulator Based on Improved A* Algorithm

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Journal of Donghua University(English Edition) 2015年第1期32卷 79-85页

作者：汪首坤朱磊 Key Laboratory of Intelligent Control and Decision for Complex System Beijing Institute of Technology

The conventional A* algorithm may suffer from the infinite loop and a large number of search data in the process of motion planning for manipulator. To solve the problem,an improved A* algorithm is proposed in this paper by the means of selecting middle points and applying variable step segments searching during the searching process. In addition,a new method is proposed for collision detection in the workspace. In this paper,the MOTOMAN MH6 manipulator with 6-DOF is applied for motion plan. The algorithm is based on the basis of the simplification for the manipulator and obstacles by cylinder enveloping. Based on the analysis of collision detection,the free space can be achieved which makes it possible for the entire body to avoid collisions with obstacles. Compared with the Conventional A*,the improved algorithm deals with less searching points and performs more efficiently. The simulation developed in VC + + with OpenGL and the actual system experiments prove effectiveness and feasibility of this improved method.

关键词： manipulator collision detection A* algorithm variable step segments searching OpenGL

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