This paper presents a unified framework for constructing Approximate Message Passing (AMP) algorithms for rotationally-invariant models. By employing a general iterative algorithm template and reducing it to long-memo...
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With the problems of data sharing and information diddling in the field of education, we construct a highly available education consortium blockchain platform to ensure trusted sharing and privacy protection of educat...
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With the problems of data sharing and information diddling in the field of education, we construct a highly available education consortium blockchain platform to ensure trusted sharing and privacy protection of education data. We employ erasure codes to process blockchain ledger files and optimize the data storage model according to the characteristics of education data, which can reduce the storage volume effectively. A HotStuff consensus algorithm is designed to access the ordering service of Hyperledger Fabric. A suitable educational blockchain network architecture based on the node complexity of education scenarios is proposed to achieve the high availability of the platform. To manage the education blockchain network, we implement the Fabric deployment based on Kubernetes and achieve the goal of including chaincode into Kubernetes environmental management. To improve the resource utilization of chaincode, we explore the new way of chaincode management by the functional computing service. Finally, on the premise of ensuring a 1/2 fault tolerance rate, the total ledger has decreased by 53.56%. Our platform enhanced the Byzantine fault tolerance while ensuring higher efficiency. Experimental results show that our platform is quite suitable for education scenario with many nodes.
Neural networks (NN) excel in diverse tasks but can produce nonsensical results due to their exclusive reliance on (input, output) pairs, often conflicting with human knowledge. Injecting human knowledge via output co...
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This paper considers a novel online fair division problem involving multiple agents in which a learner observes an indivisible item that has to be irrevocably allocated to one of the agents while satisfying a fairness...
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Energy Storage Systems (ESS) are vital to improving the reliability of an islanded Micro-grid (MG). In this paper, a distributed control strategy integrated with multi-agent-based average consensus algorithm is presen...
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ISBN:
(数字)9781728185507
ISBN:
(纸本)9781728185507
Energy Storage Systems (ESS) are vital to improving the reliability of an islanded Micro-grid (MG). In this paper, a distributed control strategy integrated with multi-agent-based average consensus algorithm is presented for the Distributed Energy Storage Systems (DESS) in islanded AC micro-grid. A hierarchical control structure is implemented that consists of three control levels, i.e.: inner controls, primary controls, and secondary controls. The secondary control layer consists of estimators for injected power, SoC, and system frequency. Power sharing is achieved with SoC based adaptive droop control. The multi-agent based average consensus algorithm is implemented to obtain average estimate of SoC, frequency and active power. A voltage compensation method is given to ensure that the voltage of PCC is within the acceptable range. The simulation studies carried out, verify that the proposed control strategy can ensure accurate power sharing among DESS and restore voltage and frequency to a nominal accepted range.
In order to solve the problems that the formation structure without physical leader is difficult to make unified decision or communication is limited in the face of unexpected situations, and the formation structure w...
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ISBN:
(数字)9798350385557
ISBN:
(纸本)9798350385564
In order to solve the problems that the formation structure without physical leader is difficult to make unified decision or communication is limited in the face of unexpected situations, and the formation structure with physical leader is low in autonomy and robustness, this paper proposes a improved fusion formation control algorithm of leader-follower and virtual structure. Based on consensus and graph theory, the second-order model and communication topology are established. The formation structure is designed based on the leader-follower and the idea of virtual structure. An improved consensus algorithm is used to design a formation control law with adjustable weights. Finally, through simulation and result analysis, it is found that the proposed method can cope with emergencies better and improve the robustness and autonomy of the formation system.
Many multi-robot exploration (MRE) methods generate navigation goals so that the robots can observe unknown areas. The assignment of the goals to the robots greatly affects the exploration efficiency. This paper addre...
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ISBN:
(数字)9781728152240
ISBN:
(纸本)9781728152257
Many multi-robot exploration (MRE) methods generate navigation goals so that the robots can observe unknown areas. The assignment of the goals to the robots greatly affects the exploration efficiency. This paper addresses the open-path multi-depot multiple traveling salesmen problem (OP-MmTSP) derived from multi-robot goal assignment (MGA) by presenting a decentralized method: the consensus-based decentralized discrete particle swarm optimization (CD-DPSO) algorithm. CDDPSO is a fully decentralized algorithm that assigns the computational tasks of a population-based metaheuristic algorithm to individual robots and enables them to collaborate. First, a discrete particle swarm optimization (DPSO) algorithm is proposed to resolve the OP-MmTSP. Second, the velocity update formula of DPSO is revised, inspired by the idea of the discrete time consensus algorithm that the particle swarms of all robots converge to the same solution via local communication. Finally, a variable neighborhood descent (VND) method consisting of two local search heuristics designed for min-max OP-MmTSP is adopted to improve the selected particles, which makes the CDDPSO a hybrid method that benefits from global search and local search. We applied two well-known auction-based task allocation algorithms to min-max OP-MmTSP and compared them to CDDPSO via numerical experiments. CDDPSO as a hybrid approach can usually find a better solution.
In order to solve the limitations in centralized economical dispatch(ED),a distributed algorithm is properly designed by selecting generator incremental costs as the consensus variables in this paper to solve the ED p...
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In order to solve the limitations in centralized economical dispatch(ED),a distributed algorithm is properly designed by selecting generator incremental costs as the consensus variables in this paper to solve the ED problem in a center-free *** proposed distributed algorithm is more effective than the conventional central one in the situation that the topologies are *** addition,the convergence rate,as an important performance indicator of distributed algorithm,is also investigated for different communication topologies in this *** wind power generation with relatively large fluctuations,the proposed algorithm has been tested on a 10-generator system with fluctuating wind power generations,and the simulations have demonstrated the effectiveness of the distributed ED algorithm for power system ED with time-varying power generations and topologies.
We study which machine learning algorithms have tight generalization bounds. First, we present conditions that preclude the existence of tight generalization bounds. Specifically, we show that algorithms that have cer...
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For the online transportation problem with m server sites, it has long been known that the competitive ratio of any deterministic algorithm is at least 2m − 1. Kalyanasundaram and Pruhs conjectured in 1998 that a dete...
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