首页|Study Results from Hebei Normal University Broaden Understanding of Robotics (Ap eriodically Synchronization of Multi-links Delayed Complex Networks With Semi-ma rkov Jump and Their Numerical Simulations To Single-link Robot Arms)

Study Results from Hebei Normal University Broaden Understanding of Robotics (Ap eriodically Synchronization of Multi-links Delayed Complex Networks With Semi-ma rkov Jump and Their Numerical Simulations To Single-link Robot Arms)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Robotics have been publi shed. According to news reporting originating from Shijiazhuang,People's Republ ic of China,by NewsRx correspondents,research stated,"This paper investigates the pth moment exponential synchronization problem of multi -links stochastic d elayed complex networks with semi-Markov jump via aperiodically intermittent con trol. Combining random disturbances,time -varying delay and semi-Markov jump wi th multi -links systems,our work is more relevant than previous work." Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Science and Technology Project of Hebei Education Department ,Science Foundation of Hebei Normal University. Our news editors obtained a quote from the research from Hebei Normal University ,"Based on Lyapunov method and graph theory,a novel inequality for disposing o f the problem of pth exponential synchronization is established under the aperio dically intermittent control and some sufficient criteria are derived. The theor etical results supply a new perspective showing the synchronization criterion an d the topological structure of multi -links systems related closely. Furthermore ,the value of our results is exhibited by applying them to the single -link rob ot arms in engineering." According to the news editors,the research concluded: "Eventually,a numerical simulation is provided to demonstrate the validity of our results."

ShijiazhuangPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningMathematicsNumerical ModelingRobotRoboticsHebei Normal University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)