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Adaptive robust control for four-motor driving servo system with uncertain nonlinearities

control Theory and Technology 2017年第1期15卷 45-57页

作者： Wei ZHAO Xuemei REN Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 China

A novel adaptive robust control （ARC） is presented for the four-motor driving servo systems with the uncertain nonlinearities and actuation failures, such that the load tracking control is achieved with the proximate optimal-time. By applying the proposed scheme, several control objectives are achieved. First, the nonlinear synchronization algorithm is presented to maintain the velocity synchronization of each motor, which provides fast convergence without chatting. Moreover, the time-varying bias torque is applied to eliminate the effect of backlash and reduce the waste of energy. Then, the ARC is designed to achieve the proximate optimal-time output tracking with the transient performance in L2 norm, where the friction and actuation failures are addressed by the adaptive scheme based on the norm estimation of unknown parameter vector. Finally, the extensive simulated and experimental results validate the effectiveness of the proposed method.

关键词： Four-motor driving servo systems adaptive robust control velocity synchronization control friction backlash,actuation failures

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Target-Focused Video Stabilization for Human Computer Interaction 29

Target-Focused Video Stabilization for Human Computer Intera...

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第29届中国控制与决策会议

作者： Hao Zhu Qing You Wenjie Chen School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (纸本)9781509046584

As an important task of video enhancement,a lot of video stabilization methods have been *** in many real-world applications,especially the systems with human-computer interactions,existing methods only remove camera motion in stabilized frames,the remaining object motion will also lead to deviations in manual *** this paper,we collect practical hand drawn bounding boxes which have been shown to contain serious *** we propose a target-focused video stabilization method consisting of a proposal-based detection component and a trackingbased motion estimation *** experiments demonstrate our method can remove camera jitter and target motion simultaneously,and also offer users a friendly and effective way to draw accurate target regions.

关键词： Video Stabilization Human-computer Interactive Object Proposal

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A survey on Lyapunov-based methods for stability of linear time-delay systems

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Frontiers of Computer Science 2017年第4期11卷 555-567页

作者： Jian SUN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing 100081 China

Recently, stability analysis of time-delay systems has received much attention. Rich results have been obtained on this topic using various approaches and techniques. Most of those results are based on Lyapunov stability theories. The purpose of this article is to give a broad overview of stabil- ity of linear time-delay systems with emphasis on the more recent progress. Methods and techniques for the choice of an appropriate Lyapunov functional and the estimation of the derivative of the Lyapunov functional are reported in this ar- ticle, and special attention is paid to reduce the conservatism of stability conditions using as few as possible decision vari- ables. Several future research directions on this topic are also discussed.

关键词： time-delay system,ity delay-dependent stability,Lyapunov-Krasovskii functionaldelay-independent stabil-linear matrix inequality,

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3D Semantic Mapping Based on Convolutional Neural Networks

3D Semantic Mapping Based on Convolutional Neural Networks

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Chinese control Conference

作者： Jing Li Yanyu Liu Junzheng Wang Min Yan Yanzhi Yao Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing P. R. China

As an important part of environmental perception, maps guarantee the accuracy of intelligent robots in navigation, localization and path planning. The traditional 3D maps mainly focus on the spatial structure of the objects, which lacks the semantic information. A method is proposed in the paper, this method combines convolutional neural networks (CNNs) and Simultaneous Localization and Mapping (SLAM) to create global dense 3D semantic maps for indoor scenes. The deep neural network that includes convolution and deconvolution is designed to predict semantic category of every pixel. RGB-D camera is used to obtain scene information, accomplish localization and build 3D maps simultaneously. The semantic information is integrated into the 3D scene, we present an octree map method to replace traditional point clouds method, which can reduce the error from pose estimation and single frame labeling. By this method, the accuracy of semantic information is greatly improved.

关键词： Three-dimensional displays Semantics Cameras Simultaneous localization and mapping Octrees Feature extraction

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Load Curve Modeling Based on Behavior Analysis of Distributed Power Customers

Load Curve Modeling Based on Behavior Analysis of Distribute...

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2019 4th Asia Conference on Power and Electrical Engineering (ACPEE 2019)

作者： Xinyang HAN Yu ZHANG Yuqiao JIAO Yue ZHANG Yanjing QU Min DING State Grid Energy Research Institute School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System State Grid Shanghai Municipal Electric Power Company

As renewable power generation directly affects the customers' traditional electricity behavior and then offsets the power load,this paper proposes a load curve modeling method for renewable power customers based on the behavior ***,customers' active behavior is represented by the quantity of active customer *** on the analysis of customer behaviors,a modeling method for the quantity of active customer households is proposed based on Markov Chain Monte Carlo ***,with the inputs as the quantity of active customer households and time of photovoltaic power generation,an inference model based on fuzzy logic is proposed to get the quantity of customer household starting electrical *** combing the average usage time of electrical appliances,load characteristics are analyzed based on usage state of electrical appliance of distributed power ***,the simulation results verify the effectiveness of the proposed method.

关键词： Carlo Monte Markov Load Curve Modeling Based on Behavior Analysis of Distributed Power Customers

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Identification of Protein complex Based on a Novel Multi-Objective Method 37

Identification of Protein Complex Based on a Novel Multi-Obj...

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37th Chinese control Conference, CCC 2018

作者： Yuan, Zhu Xiaoyu, Peng Chong, Wu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System China University of Geosciences Wuhan430074 China

ISBN: (纸本)9789881563941

systematic identification of protein complexes is an important application of data mining in bioscience. The existing computation methods of detecting protein complexes are usually based on the topological properties of protein-protein interaction(PPI) network data. However, limited by the inherent single structure of the PPI network, the mining of protein complexes may not be fully resolved. In this paper, we propose an original multi-objective optimization strategy based protein complex detection method, which is used Adaptive Multi-Objective Black Hole algorithm, called AMOBH. In the selection of objective function strategy, we integrate the topological structure of PPI network data with semantic similarity based on GO (Gene Ontology) annotation data. Experiments demonstrate that the method we adopt provide more convinced results and higher computational efficiency compared with the existing prediction measures. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Gene Ontology

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Optimization design of superconducting cusp magnetic field structure 13

Optimization design of superconducting cusp magnetic field s...

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13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

作者： Shangbin, Jiao Dongbin, Hou Ding, Liu Weichao, Huang Natl. and Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian710048 China

ISBN: (纸本)9781538637579

Based on the analysis of the Cusp magnetic field suppression convection principle, the simulation model of superconducting Cusp magnetic field is built by the finite element method. In the case of satisfying the magnetic field strength of the crucible wall and giving the excitation current, the number of layers of the superconducting coil is calculated by using the established model. The influence of coil spacing, thickness of shielding thickness, horizontal distance between coil and shielding thickness and longitudinal distance on magnetic induction strength, horizontal distance and longitudinal distance between coil and the shielding are analyzed under the condition that the number of superconducting coils is constant. The influence of the force on the coil, the influence of the thickness of the shielding body on the magnetic leakage strength of the magnetic field. The simulation results show that the optimized Cusp magnetic field structure parameters can be used in the actual design. © 2018 IEEE.

关键词： Finite element method

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Market-based task assignment for multi-point dynamic aggregation tasks 48

Market-based task assignment for multi-point dynamic aggrega...

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48th International Conference on Computers and Industrial Engineering, CIE 2018

作者： Du, Xin Zhang, Jia Xin, Bin Ding, Yulong Peng, Zhihong Dou, Lihua 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 Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing100081 China

Multi-agent task assignment problem exists in collaborative target tracking, collaborative rescue, regional search, etc. Most researchers regarding multi-agent task assignment only consider static tasks. However, in complex scenarios, the states of tasks (e.g., Monitoring of hazardous environments) are time-varying. This type of the task can be modeled as a multi-point dynamic aggregation (MPDA) process. This paper proposes a distributed task assignment method for the MPDA task. This method firstly adopts an auction algorithm to obtain a pre-allocation planning that can ensure every task can be completed. Then, the agents who complete the pre-allocation planning will evaluate the uncompleted tasks and assist other agents to complete these tasks, so that tasks can be completed as soon as possible. Compared with the optimal solution, simulations show that the task allocation method can obtain satisfied allocation solutions with a lower computational cost. The gap from the optimal solution is only 8% on average. Especially, for problems including more than 100 tasks, the proposed method can obtain planning solutions within one second, and the makespan of the MPDA task is more than 50% better than the best one of the 1000 random sample solutions. © 2018, Curran Associates Inc. All rights reserved.

关键词： Optimal systems

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Distributed sub-optimal resource allocation via a projected form of singular perturbation

arXiv

引用

arXiv 2019年

作者： Liang, Shu Zeng, Xianlin Chen, Guanpu Hong, Yiguang 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 Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

Distributed optimization for resource allocation problems is investigated and a sub-optimal continuous-time algorithm is proposed. Our algorithm has lower order dynamics than others to reduce burdens of computation and communication, and is applicable to weight-balanced graphs. Moreover, it can deal with both local constraints and coupled inequality constraints, and remove the requirement of twice differentiability of the cost function in comparison with the existing sub-optimal algorithm. However, this algorithm is not easy to be analyzed since it involves singular perturbation type dynamics with projected non-differentiable righthand side. We overcome the encountered difficulties and obtain results including the existence of an equilibrium of the algorithm, the sub-optimality in the sense that the solution approaches to the optimal solution as an adjustable parameter tends to zero, and the convergence of the algorithm. Copyright © 2019, The Authors. All rights reserved.

关键词： Resource allocation

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Generalization of integral inequalities and (c_1,c_1) stability of neutral differential equations with time-varying delays

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Journal of systems Engineering and Electronics 2017年第2期28卷 347-360页

作者： Shuli Guo Lina Han Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Mathematics Institute Oxford University Department of Cardiovascular Internal Medicine Nanlou Branch of Chinese PLA General Hospital

A uniform stability analysis is developed for a type of neutral delays differential equations which depend on more general nonlinear integral inequalities. Many original investigations and results are obtained. Firstly, generations of two integral nonlinear inequalities are presented, which are very effective in dealing with the complicated integro-differential inequalities whose variable exponents are greater than zero. Compared with existed integral inequalities, those proposed here can be applied to more complicated differential equations, such as time-varying delay neutral differential equations. Secondly, the notions of (ω, Ω) uniform stable and (ω, Ω) uniform asymptotically stable, especially (c1, c1) uniform stable and (c1, c1) uniform asymptotically stable, are presented. Sufficient conditions on about (c1, c1) uniform stable and (c1, c1) uniform asymptotically stable of time-varying delay neutral differential equations are established by the proposed integral inequalities. Finally, a complex numerical example is presented to illustrate the main results effectively. The above work allows to provide further applications on the proposed stability analysis and control system design for different nonlinear systems. © 2017 Beijing Institute of Aerospace Information.

关键词： control system stability Differential equations Nonlinear equations Time delay Time varying control systems

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