【摘 要】
：
Dear editor,rnFor multi-agent systems,consensus is the most fundamental problem,for which,vast studies have been reported,but a few achieved optimal protocols[1-9].As well known,opti-mal consensus is nontrivial due to the mismatching between the whole per
【机 构】
：
School of Control Science and Engineering,Shandong University,Jinan 250061,China
论文部分内容阅读
Dear editor,rnFor multi-agent systems,consensus is the most fundamental problem,for which,vast studies have been reported,but a few achieved optimal protocols[1-9].As well known,opti-mal consensus is nontrivial due to the mismatching between the whole performance optimization(which usually leads to a centralized protocol)and the given distributed communi-cation topology[1].This makes that for a pre-given global cost functional,a distributed optimal protocol usually can-not be derived based on certain Riccati equation[1-3],for which suboptimal protocol could be attempted[4,5].De-spite proposing distributed optimal protocols,Refs.[6,7]merely focus on local cost functionals(rather than global),and Refs.[3,8,9]only consider post-given or man-made(to some extent)global cost functionals,which lack practical significance.Notably,Ref.[1]developed a novel design strat-egy of distributed optimal protocol for pre-given global cost functional and topology,but the strategy is only applicable to single-integrator agents.
其他文献
In cell-free massive multiple-input multiple-output(MIMO)orthogonal frequency division mul-tiplexing(OFDM)systems,user equipments(UEs)are served by many distributed access points(APs),where channels are correlated owing to finite angle-delay spread in rea
The classical proportional-integral-derivative (PID) controller is ubiquitous in engineering sys-tems that are typically nonlinear with various uncertainties,including random noise.However,most of the literature on PID control focused on linear determinis
Many real-world optimization problems involve multiple conflicting objectives.Such problems are called multiobjective optimization problems(MOPs).Typically,MOPs have a set of so-called Pareto optimal solutions rather than one unique optimal solution.To as
In the rational cryptographic protocol,the two rational players often fall into the prisoner\'s dilemma,which is also the case for the rational secret sharing we consider in this paper.First,it is proved that rational secret sharing has a sequential equ
Full-duplex(FD)two-way relaying has the potential to substantially improve the spectral effi-ciency of the system,and is regarded as an enabling technology for the next generation wireless communication systems.Nevertheless,the joint effect of residual in
The high-accuracy drag-free control is one of the key technologies for gravity gradient satellites.Since the range of the gravity gradiometer is limited,the measurement is subject to the saturation constraint.This paper introduces a design method of the a
With the emergence of AI technologies,intrinsic value of data is released and takes tremendous effects on numerous industries.In the context of regional medical care,data sharing and cooperating is in high demand,which can bring both financial and societa
Applying an event-triggered protocol,this paper proposes a distributed H∞ filter design for nonlinear perturbed systems under fading measurements with random topology.Nonlinearities in this system obey the one-sided Lipschitz constraint,which embraces the
The exploration for greater computing power has existed for a long time.Since the 1960s,transistors in modern elec-tronic computers have kept advancing following Moore\'s law.However,as silicon transistors continue to scale down,they face challenges suc
This study considers the multivariate alarm design problem of nonlinear time-varying systems by a Bayesian belief-rule-based(BRB)method.In the method,the series of belief rules are constructed to approximate the relationship between input and output varia