首页|New Robotics Findings Has Been Reported by Investigators at Nanchang University (A Flexible-predefined-time Convergence and Noise-suppression Znn for Solving Ti me-variant Sylvester Equation and Its Application To Robotic Arm)
New Robotics Findings Has Been Reported by Investigators at Nanchang University (A Flexible-predefined-time Convergence and Noise-suppression Znn for Solving Ti me-variant Sylvester Equation and Its Application To Robotic Arm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting originatingfrom Nanchang, People’s Republ ic of China, by NewsRx correspondents, research stated, “Although thezeroing ne ural network (ZNN) has strong competitiveness in solving the time -varying Sylve ster equation(TVSE), its convergence and robustness as two key indicators still need to be further improved. Toaddress these problems, we propose a flexible - predefined -time convergence and noise -suppression ZNN(FPCNS-ZNN).”
NanchangPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsNanchang University
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