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Uncertain queueing model with group arrivals

Soft Computing 2024年第13-14期28卷 7999-8012页

作者： Liu, Yang Qin, Zhongfeng School of Economics and Management Beihang University Beijing100191 China Key Laboratory of Complex System Analysis Management and Decision Beihang University Beijing100191 China

The main goal of mathematical modeling and analysis of queueing systems is to understand the dynamic behavior of the underlying processes, enabling informed and intelligent management decisions. While the queueing systems with random factors have received extensive scrutiny, this paper introduces an uncertain queueing model that considers the belief degree of customer behavior. In this model, customers arrive in groups and the interarrival times and service times are treated as uncertain variables. To evaluate the performance of this proposed uncertain queueing model, the busy index and busy period are also discussed, and the analytical formulas and uncertainty distribution are derived respectively. Additionally, two numerical examples are also given to illustrate the obtained results. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Queueing theory

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A Noise-Excitation Generative Adversarial Network for Actuator Fault Diagnosis of Multi-legged Robot

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无人系统（英文） 2023年第2期11卷 159-173页

作者： Liling Ma Jian Guo Jiehao Li Junzheng Wang State Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of TechnologyBeijing 100081P.R.China

This research provides a novel approach for detecting multi-legged robot actuator *** most significant concept is to design the Fault Diagnosis Generative Adversarial Network(FD-GAN)to fully adapt to the fault diagnosis problem with insufficient *** found that it is difficult for methods based on classification and prediction to learn failure patterns without enough data.A straightforward solution is to use massive amounts of normal data to drive the diagnostic *** introduce frequency-domain information and fuse multi-sensor data to increase the features and expand the difference between normal data and fault data.A GAN-based framework is designed to calculate the probability that the enhanced data belongs to the normal *** uses a generator network as a feature extractor,and uses a discriminator network as a fault probability evaluator,which creates a new use of GAN in the field of fault *** the many learning strategies of GAN,we find that a key point that can distinguish the two types of data is to use the hidden layer noise with appropriate discrimination as the *** also design a fault location method based on binary search,which greatly improves the search efficiency and engineering value of the entire *** have conducted a lot of experiments to prove the diagnostic effectiveness of our architecture in various road conditions and working *** compared FD-GAN with popular diagnostic *** results show that our method has the highest accuracy and recall rate.

关键词： Actuator fault diagnosis multi-legged robot generative adversarial network attention mechanism

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Application of a path-based ridesharing user equilibrium model of drivers matching passengers from multiple OD pairs to Smart City 4

Application of a path-based ridesharing user equilibrium mod...

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4th International Conference on Internet of Things and Smart City, IoTSC 2024

作者： Xiao, Xianhong Xu, Yangdong Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9781510681767

In the last decade, due to the rapid development of GPS, electronic payment, and other technologies, as well as the popularity of smartphones, ridesharing has gradually emerged among people. This paper aims to investigate a new path-based ridesharing user equilibrium model to research 'ridesharing'. The travelers in this model include three travel modes: solo drivers, ridesharing drivers, and ridesharing passengers. In our model, a ridesharing driver can share a ride with passengers from multiple different OD pairs during the entire journey, and these passengers are not meet in this car. Meanwhile, each passenger is carried by only a ridesharing driver throughout the entire travel. Moreover, we optimize functions of travel cost to make it more realistic in our model. Finally, some numerical experiments are provided to illustrate the effectiveness and characteristics of our model. It is shown that: (1) Compared with other models, our model has lower generalized cost. (2) By inducing drivers to drive on the new roadways, the network may create a paradox. © 2024 SPIE.

关键词： Smart city

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Bearing-Only Formation of Multi-Agent systems via Edge-Based Event-Triggered Control 42

Bearing-Only Formation of Multi-Agent Systems via Edge-Based...

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42nd Chinese Control Conference, CCC 2023

作者： Liu, Chenjun Zhu, Wei Chongqing University of Posts and Telecommunications Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing China

ISBN: (纸本)9789887581543

The event-triggered bearing-only formation of leader-following multi-agent systems is studied in this paper. Based on the neighboring bearing information at event-triggering time instants, the edge-based event-triggered scheme for stationary formation is designed. The event-triggering time instants are iteratively determined by a combined technique, where the Zeno-behavior can be avoided directly. A sufficient condition for achieving formation is presented under the assumption that there is no collision among agents. Finally, the numerical simulation is given to illustrate the effectiveness of the theoretical results. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Financial Time Series Prediction via Neural Ordinary Differential Equations Approach

Financial Time Series Prediction via Neural Ordinary Differe...

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2023 International Annual Conference on complex systems and intelligent Science, CSIS-IAC 2023

作者： Li, Jingsui Zhu, Wei Chen, Zhang Pei, Chao Chongqing University of Posts and Telecommunications Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing China

ISBN: (纸本)9798350309003

This paper considers the prediction problem of financial time series, namely, the prediction of exchange rate for four currencies with the Chinese Yuan (CNY). A novel approach is developed for this challenging topic by neural ordinary differential equations (NODEs). The comparing simulations with long short-term memory (LSTM) and gated recurrent unit (GRU) show that NODEs have better precision and accuracy in exchange rate prediction. Especially, for the drastic change case, the NODEs approach gives more flexible technique. © 2023 IEEE.

关键词： Long short-term memory

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Finite-time bearing-only formation of first-order multi-agent systems under pinning control

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Science China(Information Sciences) 2024年第5期67卷 331-332页

作者： Chenjun LIU Wei ZHU Fenglan SUN Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications

Formation control of multi-agent systems(MASs) has been applied in various fields, such as autonomous navigation and target encirclement, due to its ability to facilitate coordination and achieve the desired formation or space configuration. Bearing-based formation control offers greater practicality than position-based or distance-based approaches since bearing information is inexpensive and simple to acquire, such as utilizing optical cameras.

关键词： Multi agent systems

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Parameter estimation of fractional uncertain differential equations

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Soft Computing 2024年第13-14期28卷 7601-7616页

作者： Luo, Cheng Wu, Guo–Cheng Jin, Ting School of Mathematics and Statistics Southwest University Chongqing400715 China Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Chongqing400065 China School of Science Nanjing Forestry University Jiangsu Nanjing210037 China

Fractional uncertain differential equations are used for forecast in this paper. It is crucial to provide an accurate estimation method since fractional uncertain differential equations hold memory effects and parameter estimation strongly depends on the accuracy of numerical schemes. A generalized moment estimation method is developed by the famous L1 numerical scheme. Adam optimization algorithm is adopted in the minimum optimization problem and the obtained optimal parameters can pass the uncertain hypothesis test. Compared with the uncertain differential equations, the fractional one holds more parameter freedom degrees and captures long-term interactions of observed data. Finally, the applications to aftershock frequency and pharmacokinetics are provided as examples. It can be concluded that fractional uncertain differential equations lead to the higher forecast accuracy which also provides some potential works on "fractional deep learning" under uncertain environments. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Parameter estimation

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Distributed Optimization and Scaling Design for Solving Sylvester Equations

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Journal of systems Science & complexity 2024年第6期37卷 2487-2510页

作者： CHENG Songsong YU Xin ZENG Xianlin LIANG Shu HONG Yiguang Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and AutomationAnhui UniversityHefei 230601China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 201210China

This paper develops distributed algorithms for solving Sylvester *** authors transform solving Sylvester equations into a distributed optimization problem,unifying all eight standard distributed matrix *** the authors propose a distributed algorithm to find the least squares solution and achieve an explicit linear convergence *** results are obtained by carefully choosing the step-size of the algorithm,which requires particular information of data and Laplacian *** avoid these centralized quantities,the authors further develop a distributed scaling technique by using local information *** a result,the proposed distributed algorithm along with the distributed scaling design yields a universal method for solving Sylvester equations over a multi-agent network with the constant step-size freely chosen from configurable ***,the authors provide three examples to illustrate the effectiveness of the proposed algorithms.

关键词： Distributed optimization least squares solution linear convergence rate step-size interval Sylvester equation

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A Regional Necessity Based Multi-agent Target Search Strategy for Post-earthquake Rescue 41

A Regional Necessity Based Multi-agent Target Search Strateg...

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第41届中国控制会议

作者： Xi Luo School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The damage caused by the earthquake is *** the purpose of post-earthquake rescue is to reduce *** it is necessary to improve the efficiency of rescue as much as *** paper focuses on multi-agent cooperative target search in the post-earthquake rescue and how to exploit the prior information of post-disaster building to improve the searching efficiency.A regional necessity based searching strategy is proposed which utilizes pre-disaster building information and adapts to dynamic ***,the target probability map is estimated according to the distribution information of pre-disaster ***,the regional necessity map is constructed by integrating the target probability map and the perception of the environment during the search ***,the search strategy is proposed based on the regional necessity map and the particle swarm optimization *** the gradient direction of regional necessity and local optimal velocity,the agent dynamically selects the search *** comparing with other search strategies in simulation experiments,the proposed strategy could shorten the searching time and improve the searching efficiency in the small and medium-scale task ***,the search strategy can adapt to the post-earthquake dynamic environment,which is confirmed by dynamic experiments.

关键词： multi-agent cooperative target search post-earthquake rescue regional necessity particle swarm optimization

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Dynamic Scheduling for Airport Special Vehicles Based on a Multi-strategy Hybrid Algorithm 41

Dynamic Scheduling for Airport Special Vehicles Based on a M...

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第41届中国控制会议

作者： Wei Quan Chen Chen Zhuang Shao Kai Meng School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

When arriving at the airport,flight needs to be served by special *** at the dynamic time window scheduling problem of airport refueling vehicles,this paper establishes a vehicle routing problem model with time window to minimize the operating ***,a multi-strategy genetic algorithm is designed to gain the solve time window scheduling problem,which employs the crossover based on particle swarm optimization to accelerate the early search capability,and the local search method based on simulated annealing to increase the local optimization *** aiming at dynamically adjusting vehicle routes on the basis of static scheduling,a local replanning strategy based on a dynamic time window is introduced,which uses the original route matching and rescheduling *** results show that the multi-strategy hybrid algorithm can effectively reduce the number of routes and vehicles the airport *** different scales' dynamic changes of time windows,the algorithm could enable vehicles to still meet time constraints and effectively minimize the change of routes.

关键词： vehicle scheduling multi-strategy genetic algorithm dynamic scheduling local replanning strategy

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