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

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, th...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2022-05, Vol.69 (5), p.4977-4987
Hauptverfasser:	Kong, Ying, Jiang, Yunliang, Li, Xianyi, Lei, Jingsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Initial conditions Kinematic repetitive control Kinematics Manipulators Mathematical model Neural networks Optimization prespecified time Quadratic programming time-specified zeroing neural network (TSZNN) Trajectory planning
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