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multi-agent system for Electric Vehicle Charging Scheduling in Parking Lots

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Complex system Modeling and Simulation 2023年第2期3卷 129-142页

作者： Mao Tan Zhonglin Zhang Yuling Ren Irampaye Richard Yuzhou Zhang School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China School of Computer Science&School of Cyberspace Science Xiangtan UniversityXiangtan 411105China Hunan National Center for Applied Mathematics Xiangtan UniversityXiangtan 411105China Hunan Hi-Tech New Energy Co.Ltd. Changsha 410006China.

As the number of electric vehicles(EVs)increases,massive numbers of EVs have started to gather in commercial parking lots to charge and discharge,which may significantly impact the operation of the *** may also be a deviation in the departure time of charged and discharged EVs in commercial parking *** deviation can lead to insufficient battery energy when the EVs leave the parking *** study uses the simulation software AnyLogic to build a commercial parking lot multi-agent simulation model,and the agent-based model can fully reflect the autonomy of individual *** on this simulation model,we propose an EV scheduling *** algorithm contains two main *** first is the power distribution center agent(PDCA),which is used to coordinate the energy output of photovoltaic(PV),energy storage system(ESS),and distribution station(DS)to solve the problem of grid *** second is the scheduling center agent(SCA),which is used to solve the insufficient battery energy problem due to EVs’random *** SCA includes two *** the first stage,a priority scheduling algorithm is proposed to emphasize the fairness of EV *** the second stage,a genetic algorithm is used to accurately determine the time interval between charging and discharging to ensure the maximum benefit of EV ***,simulation experiments are conducted in AnyLogic,and the results demonstrate the superiority of the algorithm over the classical algorithm.

关键词： electric vehicle charging scheduling multi-agent system simultation optimization

Distributed formation control for a multi-agent system with dynamic and static obstacle avoidances

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Chinese Physics B 2014年第7期23卷 337-342页

作者：曹建福凌志浩袁宜峰高冲 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Formation control and obstacle avoidance for multi-agent systems have attracted more and more attention. In this paper, the problems of formation control and obstacle avoidance are investigated by means of a consensus algorithm. A novel distributed control model is proposed for the multi-agent system to form the anticipated formation as well as achieve obstacle avoidance. Based on the consensus algorithm, a distributed control function consisting of three terms （formation control term, velocity matching term, and obstacle avoidance term） is presented. By establishing a novel formation control matrix, a formation control term is constructed such that the agents can converge to consensus and reach the anticipated formation. A new obstacle avoidance function is developed by using the modified potential field approach to make sure that obstacle avoidance can be achieved whether the obstacle is in a dynamic state or a stationary state. A velocity matching term is also put forward to guarantee that the velocities of all agents converge to the same value. Furthermore, stability of the control model is proven. Simulation results are provided to demonstrate the effectiveness of the proposed control.

关键词： multi-agent system formation control obstacle avoidance consensus theory

Flocking of multi-agent system with high frequency feedback robust control

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The Journal of China Universities of Posts and Telecommunications 2019年第4期26卷 43-50页

作者： Zhang Qing Wang Jie Yang Zhengquan Chen Zengqiang College of Science Civil Aviation University of ChinaTianjin 300300China Department of Automation Nankai UniversityTianjin 300071China

Flocking of multi-agent system with high-frequency feedback robust control is put forward in *** controller that has high-frequency feedback robust control is designed;it is proved that the velocity error is bounded and no collision occurs between the multi-agent under the action of the high-frequency feedback robust control by employing the boundedness theorem and the Lyapunov stability *** of multi-agent system can be formed under the action of the high-frequency feedback robust *** of multi-agent system with high-frequency feedback robust control is realized in numerical *** with the state diagram and velocity error diagram of the original flocking of multi-agent system in the simulation,flocking of multi-agent system with high-frequency feedback robust control has better stability.

关键词： flocking multi-agent system high frequency robust control

Distributed H_∞ PID Feedback for Improving Consensus Performance of Arbitrary-delayed multi-agent system

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International Journal of Automation and computing 2014年第2期11卷 189-196页

作者： Lin-Lin Ou Jun-Jie Chen Dong-Mei Zhang Lin-Zhang Wei-Dong Zhang Department of Automation Zhejiang University of Technology Department of Automation Shanghai Jiaotong University

The H∞ proportional-integral-differential(PID) feedback for arbitrary-order delayed multi-agent system is investigated to improve the system performance. The closed-loop multi-input multi-output(MIMO) control framework with the distributed PID controller is firstly described for the multi-agent system in a unified way. Then, by using the matrix theory, the prescribed H∞performance criterion of the multi-agent system is shown to be equivalent to several independent H∞ performance constraints of the single-input single-output(SISO) subsystem with respect to the eigenvalues of the Laplacian matrix. Subsequently, for each subsystem,the set of the PID controllers satisfying the required H∞ performance constraint is analytically characterized based on the extended Hermite-Biehler theorem. Finally, the three-dimensional set of the decentralized H∞ PID control parameters is derived by finding the intersection of the H∞ PID regions for all the decomposed subsystems. The simulation results reveal the effectiveness of the proposed method.

关键词： multi-agent system proportional-integral-differential(PID) controller H∞ performance index parametric space consensus.

Improved multi-agent system for the Vehicle Routing Problem with Time Windows

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Tsinghua Science and Technology 2009年第3期14卷 407-412页

作者：但正刚蔡临宁郑力 Department of Industrial Engineering Tsinghua UniversityBeijing 100084 China

The vehicle routing problem with time windows （VRPTW） involves assigning a fleet of limited capacity vehicles to serve a set of customers without violating the capacity and time constraints. This paper presents a multi-agent model system for the VRPTW based on the internal behavior of agents and coordination among the agents. The system presents a formal view of coordination using the traditional contract-net protocol （CNP） that relies on the basic loop of agent behavior for order receiving, order announcement, bid calculation, and order scheduling followed by order execution. An improved CNP method based on a vehicle selection strategy is used to reduce the number of negotiations and the negotiation time. The model is validated using Solomon＇s benchmarks, with the results showing that the improved CNP uses only 30% as many negotiations and only 70% of the negotiation time of the traditional CNP.

关键词： vehicle routing problem with time window multi-agent system improved contract-net protocol

Adaptive Co-evolution Model for multi-agent system

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Journal of Donghua University(English Edition) 2010年第2期27卷 123-126页

作者：张向锋丁永生梁朝霞 College of Information Science and Technology Donghua University School of Electrical Engineering Shanghai Dianji University

It is important to harmonize effectively the behaviors of the agents in the multi-agent system (MAS) to complete the solution process. The co-evolution computing techniques, inspired by natural selection and genetics, are usually used to solve these problems. Based on learning and evolution mechanisms of the biological systems, an adaptive co-evolution model was proposed in this paper. Inner-population, inter-population, and community learning operators were presented. The adaptive co-evolution algorithm (ACEA) was designed in detail. Some simulation experiments were done to evaluate the performance of the ACEA. The results show that the ACEA is more effective and feasible than the genetic algorithm to solve the optimization problems.

关键词： adaptive co-evolution algorithm multi-agent system learning evolution genetic algorithm

Decentralized Filtering a multi-agent system with Local Parametric Couplings Based On Kalman Filter 25th

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Decentralized Filtering a Multi-Agent System with Local Para...

Finite-time synchronization for nonlinear multi-agent system with directed structure by iterative learning control

第25届中国控制与决策会议

作者： Yini Lv Hongbin Ma Mengyin Fu Chenguang Yang Key Laboratory of Intelligent Control and Decision of Complex systems School of AutomationBeijing Institution of Technology School of Computing and Mathematics Plymouth University

ISBN: (纸本)9781467355339

In this paper, decentralized filtering of multiagent systems with coupling uncertainties is proposed and investigated. The considered multi-agent system is composed of many agents, each of which evolves with a discrete-time stochastic linear time-varying dynamics, and every agent can be locally influenced by its neighbor agents. Therefore the states evolution of each agent is not only related with its previous states but also related with its neighbors’ previous states in the linear dynamic system. Communication limitations existing in the considered multi-agent system restrict that each agent can only observe its own measurements （outputs） and its neighbor agents’ outputs while the states are invisible to any agent. Because of communication limitations and information constraints, without knowing the coupling gains of the local interactions, it is not easy for each agent to estimate its states by traditional kalman filter or other state observers, which were extensively discussed in the literature. In this preliminary study, for the considered coupled linear discrete-time multiagent system with uncertain linear local couplings, based on the key idea of state augmentation and the certainty-equivalence principle borrowed from the area of adaptive control, we propose an efficient decentralized kalman filtering scheme, for each agent, to simultaneously estimate the unknown states and coupling parameters, and extensive simulations are conducted, which have clearly verified the effectiveness of the proposed decentralized filtering scheme.

关键词： multi-agent system kalman filter parametric couplings parameter estimation states estimation decentralized filtering

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Finite-time synchronization for nonlinear multi-agent system...

Experimental Study on Decentralized Concurrent Learning for multi-agent system with Complex Dynamics

第36届中国控制会议

作者： Zongzong Lin Tianping Chen Wenlian Lu School of Mathematical Science Fudan University School of Computer Science Fudan University

ISBN: (纸本)9781538629185

In this paper,we study the iterative learning control（ILC） method for nonlinear multi-agent system（MAS） to reach finite-time synchronization under the directed communication *** propose the distributed D-type iterative learning control for system whose nonlinear function satisfies the global lipschitz continuous when the graph has a spinning *** choosing the parameter γ∈[0,1],the y-adaptive iterative learning control rule（γ-AILC） can deal with the case of identical initial condition or alignment *** the end,Simulations are provided to illustrate the results.

关键词： Synchronization Iterative learning control multi-agent system Directed structure

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Experimental Study on Decentralized Concurrent Learning for ...