首页|Investigators at Sun Yat-sen University Describe Findings in Robotics (A Fuzzy-e nhanced Robust Dznn Model for Future Multiconstrained Nonlinear Optimization With Robotic Manipulator Control)
Investigators at Sun Yat-sen University Describe Findings in Robotics (A Fuzzy-e nhanced Robust Dznn Model for Future Multiconstrained Nonlinear Optimization With Robotic Manipulator Control)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting from Guangzhou, People's Republic of China, by Ne wsRx journalists, research stated, “Different from the common static and continu ous-time dynamic problems of unconstrained/constrained nonlinear optimization, t his article aims to investigate a discrete-time dynamic problem of nonlinear opt imization with multiple types of constraints, which can be succinctly termed as future multiconstrained nonlinear optimization (FMCNO) problem because of the un known future. Considering the unique advantages of neural networks with parallel ism and fuzzy control systems (FCSs) with adaptivity, a fuzzy-enhanced robust di scretized zeroing neural network (FER-DZNN) model is proposed to address the FMC NO problem.”
GuangzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsSun Yat-sen University
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