A Time-Specified Zeroing Neural Network for Quadratic Programming With Its Redundant Manipulator Application

IEEE Transactions on Industrial Electronics(2022)

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摘要
In this article, to solve a time-varying quadratic programming with equation constraint, a new time-specified zeroing neural network (TSZNN) is proposed and analyzed. Unlike the existing methods such as the Zhang neural network with different activation functions and a finite-time neural network, the TSZNN model is incorporated into a terminal attractor, and the convergent error can be guaranteed ...
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关键词
Mathematical model,Neural networks,Manipulators,Convergence,Kinematics,Quadratic programming,Optimization
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