Artificial intelligence(AI) has emerged as a transformative force across various scientific disciplines. In life sciences,AI has facilitated advancements in genomics, protein structure prediction,protein design and dr...
Artificial intelligence(AI) has emerged as a transformative force across various scientific disciplines. In life sciences,AI has facilitated advancements in genomics, protein structure prediction,protein design and drug discovery [1].
The paper gives a statement and considers the solution of an urgent scientific problem of formation control for a group of unmanned aerial vehicles (UAVs) operating in an unstable environment. To construct the referen...
详细信息
Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this *** continuous and discontinuous activations are considered *** the mixed delays which a...
详细信息
Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this *** continuous and discontinuous activations are considered *** the mixed delays which are closer to reality are taken into the ***,two kinds of control schemes are proposed,including feedback and adaptive control *** on some lemmas,mathematical inequalities and the designed controllers,a few synchronization criteria are ***,the upper bound of settling time(ST)which is independent of the initial values is ***,the feasibility of our theory is attested by simulation examples.
This paper is concerned with near-optimal source search problem using a multiagent system in cluttered indoor *** goal of the problem is to maximize the detection probability within the minimum search *** propose a tw...
详细信息
This paper is concerned with near-optimal source search problem using a multiagent system in cluttered indoor *** goal of the problem is to maximize the detection probability within the minimum search *** propose a two-stage strategy to achieve this *** the first stage,a greedy approach is used to define a set of grid cells with the aim of maximizing the detection *** the second stage,an iterative branch-and-bound procedure is used to design the search paths of all agents so that all grid cells are visited by one agent and the largest search path among all agents is *** results show that the proposed search algorithm has better performance in terms of exploration time compared to other existing methods.
This article studies the almost-sure and the mean-square consensus control problems of second-order stochastic discrete-time multi-agent systems with multiplicative ***,a control law based on the absolute velocity and...
详细信息
This article studies the almost-sure and the mean-square consensus control problems of second-order stochastic discrete-time multi-agent systems with multiplicative ***,a control law based on the absolute velocity and relative position information is ***,considering the existence of multiplicative noises and nonlinear terms with Lipschitz constants,the consensus control problem is solved through the use of a degenerated Lyapunov ***,for the linear second-order multi-agent systems,some explicit consensus conditions are ***,two sets of numerical simulations are performed.
Summary What is already known about this topic?Brucellosis and severe fever with thrombocytopenia syndrome(SFTS)are neglected zoonoses,attributable respectively to Brucella and the SFTS virus(SFTSV).While the incidenc...
详细信息
Summary What is already known about this topic?Brucellosis and severe fever with thrombocytopenia syndrome(SFTS)are neglected zoonoses,attributable respectively to Brucella and the SFTS virus(SFTSV).While the incidence of these diseases has been rising,instances of co-infection remain *** is added by this report?This represents the first documented case of a rare coinfection involving Brucella and SFTSV.
In this study, we introduce an algorithm called Dictionary-Labeled A∗ (DL-A∗), which addresses the critical problem of path-and-posture planning for mobile robots with turning radius constraints. DL-A∗ utilizes a dict...
详细信息
Lassa fever(LF)is an acute viral hemorrhagic disease caused by Lassa virus(LASV)[1].LASV is transmitted to humans primarily through direct contact with infected Mastomys rodents,or items polluted by infected rodents[2...
详细信息
Lassa fever(LF)is an acute viral hemorrhagic disease caused by Lassa virus(LASV)[1].LASV is transmitted to humans primarily through direct contact with infected Mastomys rodents,or items polluted by infected rodents[2].LF is difficult to diagnose without laboratory tests because of its various symptoms,ranging from no symptoms to multiple organ failure and death[2].West Africa is the traditionally endemic regions for LF,with confirmed and sporadic outbreaks reported in countries,such as Nigeria,Burkina Faso and Guinea[2].LF cases have also been detected in some non-endemic regions due to international travels[3,4],for example,the United Kingdom found LF imported cases from Mali[5].This indicates that the countries are exposed to imported risks of LF due to the *** recent publication[6]reported the first imported cases of LF in China,providing important insights into the understanding and control of the emerging infectious disease.
This article studies the adaptive optimal output regulation problem for a class of interconnected singularly perturbed systems(SPSs) with unknown dynamics based on reinforcement learning(RL).Taking into account the sl...
详细信息
This article studies the adaptive optimal output regulation problem for a class of interconnected singularly perturbed systems(SPSs) with unknown dynamics based on reinforcement learning(RL).Taking into account the slow and fast characteristics among system states,the interconnected SPS is decomposed into the slow time-scale dynamics and the fast timescale dynamics through singular perturbation *** the fast time-scale dynamics with interconnections,we devise a decentralized optimal control strategy by selecting appropriate weight matrices in the cost *** the slow time-scale dynamics with unknown system parameters,an off-policy RL algorithm with convergence guarantee is given to learn the optimal control strategy in terms of measurement *** combining the slow and fast controllers,we establish the composite decentralized adaptive optimal output regulator,and rigorously analyze the stability and optimality of the closed-loop *** proposed decomposition design not only bypasses the numerical stiffness but also alleviates the *** efficacy of the proposed methodology is validated by a load-frequency control application of a two-area power system.
Deep learning techniques have been widely applied in fringe projection profilometry. However, existing methods focus on single-view measurements. This Letter introduces, for the first time to our knowledge, an end-to-...
详细信息
暂无评论