Penalty-enhanced error-redefinition RNN for time-varying QP problems with multiple constraints and robot arm applications Penalty-enhanced error-redefinition RNN

• Published in: Nonlinear dynamics Vol. 113; no. 17; pp. 23259 - 23283
• Main Authors: Zhang, Tongyang, Yang, Song
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.09.2025
• Subjects: Applications of Nonlinear Dynamics and Chaos Theory; Classical Mechanics; Control; Dynamical Systems; Physics; Physics and Astronomy; Statistical Physics and Dynamical Systems; Vibration; Time-varying quadratic programming; Equality- and inequality-constraints; Zeroing neural dynamics; Recurrent neural network; Motion planning of robot arms
• ISSN: 0924-090X; 1573-269X
• DOI: 10.1007/s11071-025-11349-z

Time-varying quadratic programming (QP) problems with multiple constraints (i.e., equality and inequality constraints) arise in various applications, including the motion planning of robotic arms. To achieve an efficient and accurate solution for these optimization problems, this paper proposes a no...