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第35届中国控制会议

作者： LIU Hong-Yang PENG Zhi-Hong CHEN Jie FANG Hao School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

ISBN: (纸本)9781509009107

Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles(UAVs) is *** order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV,a constraint of distances coordination is *** from the traditional studies that focus on angular separation or communication connectivity for UAVs,this constraint takes the effect of geometric configuration for two UAVs coordination into ***,the constraint only applies to follower UAV,aiming to obtain its optimal coordinated distance to *** this way,accuracy of target state estimation and optimal geometric configuration of target tracking for UAVs are *** Information filter is used to estimate the target location on a 2-D plane,and a receding horizon approach is applied to generate the optimal control policy for two UAVs' *** results illustrated the effectiveness.

关键词： UAVs target tracking state estimation constraint of distances coordination

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Simulation Experiment Factor Screening Method Based on Combinatorial Optimization 21st

Simulation Experiment Factor Screening Method Based on Combi...

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21st Asia Simulation Conference, AsiaSim 2022

作者： Zhang, Peng Li, Wei Chen, Qingao Tong, Jiahui Control and Simulation Center Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811991974

When conducting complex simulation experiments, experimental factor screening is of great significance to improve the effectiveness and efficiency of the simulation. Aiming at the problems of unsatisfactory accuracy and efficiency of existing experimental factor screening methods, a simulation experiment factor screening method based on combinatorial optimization (EFS-CO) was designed. EFS-CO abstracts the experimental factor screening problem into a combinatorial optimization problem, designs the experimental factor evaluation criteria based on the support vector machine model, uses it as the fitness function of the genetic algorithm, and finally obtains the significant experimental factor. At the same time, to eliminate the influence of the randomness of the genetic algorithm on the screening results, the screening results of the experimental factors were determined based on the results of multiple experiments. Finally, the effectiveness of the method is verified by example analysis and comparing the results with the traditional experimental factor screening method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Combinatorial optimization

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Dynamic Event-Triggered control for Nonlinear systems:A Small-Gain Approach

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系统科学与复杂性学报（英文版） 2020年第4期33卷 930-943页

作者： ZHAO Qingtao SUN Jian BAI Yongqiang 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

An event-triggered control (ETC) system transmits data packages and updates control inputs only when the predefined criterion is *** this way,network communication and computing resources are scheduled more reasonably in contrast to the traditional periodic sampling ***-gain approach proposed in recent literatures is a new modeling method to deal with nonlinear ETC *** from traditional ETC models,stability criteria are proposed in the form of input to state stability (ISS) gain to design the triggering *** paper introduces additional dynamic variables in this model and proposes a small-gain based dynamic event-triggered *** conditions to guarantee the stability of the system are derived with the help of cyclic-small-gain theorem and Zeno behaviors are avoided to ensure the feasibility of this method in practical *** simulations are given to demonstrate the effectiveness of our approach.

关键词： Cyclic-small-gain theorem event-triggered control input-to-state stability (ISS) nonlinear systems

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Efficient Hybrid Multi-Population Genetic Algorithm for Multi-UAV Task Assignment in Consumer Electronics Applications

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IEEE Transactions on Consumer Electronics 2025年

作者： Bai, Xiaoshan Jiang, Haoyu Li, Chao Ullah, Inam Dabel, Maryam M. Al Bashir, Ali Kashif Wu, Zongze Sam, Shuzhi Shenzhen University College of Mechatronics and Control Engineering National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China Shenzhen University Shenzhen City Joint Laboratory of Autonomous Unmanned Systems and Intelligent Manipulation Shenzhen518060 China Tashkent State University of Economics Department of Artificial Intelligence Tashkent100066 Uzbekistan University of Hafr Al Batin Department of Computer Science and Engineering College of Computer Science and Engineering Saudi Arabia Manchester Metropolitan University Manchester United Kingdom Shenzhen518060 China National University of Singapore Department of Electrical and Computer Engineering Singapore117576 Singapore

In recent years, as people’s living standards have improved and consumption concepts have been transformed, the demand for purchasing consumer electronics online has continued to grow, further stimulating the development of the logistics industry. Consequently, how to deliver consumer electronics to households at minimal cost has become a crucial factor that limits the development of the consumer technology industry. To tackle this problem, this paper studies the task assignment problem for multiple initially dispersed UAVs to deliver products to target locations while minimizing their total operation time. Each UAV can continuously provide delivery services to multiple target locations within its limited loading capacity and operation time. To solve this problem, we propose several hybrid multipopulation genetic algorithms. First, a novel crossover operator for the genetic algorithms is designed, through which a single parent chromosome can generate offspring individually. Second, two mutation mechanisms are performed to increase gene diversity. Third, multiple local search strategies are employed to enhance the populations’ fitness during each iteration of evolution. An improved 2-opt local search strategy is applied to optimize individual chromosomes when their similarity with the current best chromosome falls below a prescribed threshold. Alternatively, local search strategies are utilized for 1-opt, 2h-opt and interchange processes. Combining local search strategies, genetic operators, and the multi-population mechanism leads to several hybrid multi-population genetic algorithms. Numerical simulations and experimental tests demonstrate that the hybrid multi-population genetic algorithm, integrated with the improved 2-opt and 1-opt local search strategies, exhibits superior performance among the designed hybrid genetic algorithms, the minimum marginal cost algorithm (MMA), and the existing popular Co-evolutionary Multi-population Genetic Algorithm (CMGA). In exp

关键词： Genetic algorithms

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Cross-Domain Guidance Positioning Method Based on Multi-Layer Network Structure 21

Cross-Domain Guidance Positioning Method Based on Multi-Laye...

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3rd European Symposium on Computer and Communications, ESCC 2021

作者： Wu, ChengFeng Guo, XiaoYun Xu, Cheng Qi, Hang Liu, Yanxu Zhao, Jianmin Hu, Enwen Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory China Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781450387491

Oriented towards the requirements for reliable positioning and navigation of aircraft under the condition of rejection of navigation satellite, we proposed cross-domain guide positioning methods based on multi-layer network coverage, and designed the relative positioning network construction methods between ground nodes, aircrafts and ground nodes, aircrafts and target nodes. Combined with the relative positioning network characteristics of each layer, at the same time, considered the computational complexity and location accuracy, the self-established multi-point coordinate system method and the robust location method are proposed. © 2021 ACM.

关键词： Aircraft

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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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Research on Standardized Development Method of Scenario for Combat Information Simulation system 33

Research on Standardized Development Method of Scenario for ...

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第三十三届中国控制会议

作者： SUN Zhen DING Shuxin School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781479947249

Analysis and design of simulation scenario, design and application of scenario system are problems needed to be solved in the development and performance verification of simulation system. Consequently, a standardized development method for developing scenario based on a kind of combat information simulation system is proposed in this paper. Firstly, according to the requirements for generation of scenario which are decided by simulation system, the combining of military conceptual model and the entity oriented modeling method(EATI method) is used to build scenario structure model accurately and without distortion. Secondly, description of content and realizing form for scenario are constrained and standardized by extensible markup language(XML). Finally, a visualized and flexible scenario system model is built based on former theory analysis, which is independent of simulation system. This paper not only solves the problem existed in scenario and scenario system, but also implements rapid development of scenario, which provides important theory guiding meaning.

关键词： Scenario,Military Conceptual Model,EATI Method,XML Schema,Combat Information Simulation system

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MEMS-based Human Activity Recognition Using Smartphone 35

MEMS-based Human Activity Recognition Using Smartphone

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第35届中国控制会议

作者： TIAN Ya CHEN Wenjie Department of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781509009107

Data mining is one hot orientation in today’s research *** activity recognition is meaningful in our daily living and is a significant aspect in data *** previously research is almost based on tri-axial *** paper presents a novel method to collect data from both accelerometer and gyroscope using *** daily activities including Walking,Running,Upstairs,Downstairs,Standing,Sitting and Cycling,a total of seven categories are *** raw data from MEMS are recorded by smartphone according to different daily *** improve the accuracy of classification for daily activities,this paper combines time-series features with wavelet coefficients to extract *** recognize these activities,the support vector machine is used to finish this ***,we compare the accuracy with other machine learning methods,such as k-nearest neighbor algorithm and neural network or decision *** result indicates that our method can achieve nearly 96%classification accuracy for the seven kinds of daily activities.

关键词： classification activity recognition wavelet transform support vector machine feature extraction

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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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Multi-platform Maneuvering Target Tracking based on BLUE- AIMM- CI Algorithm 34

Multi-platform Maneuvering Target Tracking based on BLUE- AI...

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第三十四届中国控制会议

作者： Wang Mao-zhang BAI Yong-qiang Department of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

With the battlefield environment becomes more complicated nowadays, it's difficult to achieve high precision target tracking only using single platform of target tracking system. Especially for maneuvering targets, the application of interactive multiple model(IMM) algorithm based on a variety model becomes necessary and feasible. At the same time, the best linear unbiased estimate(BLUE) filter is much more appropriate and useful than Kalman filter when it comes to deal with nonlinear system. Most of the time, we are blind to the correlation degree of our target during the merge process of tracking. We can track our target with multi-platform with introduction of Cross-Correlation(CI) fusion algorithm which is based on distributed data and proves its effectiveness by simulation.

关键词： Multi-platform,Maneuvering target tracking,BLUE filter,AIMM,CI fusion

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