Original scientific paper

Command filter adaptive output feedback control based on steel structure robotic arm with prescribed performance

J. H. Zhou ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China
G. F. Cui ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China
D. X. Gao ; School of Science, University of Science and Technology Liaoning, Anshan, China

Abstract

The paper proposes a command filtering adaptive output feedback control scheme with preset performance for a Robotic Arm Model (RAM) designed specifically for steel structures. Initially, a neural network observer is employed to approximate the nonlinear functions within the model and to estimate the unmeasured states of the system. Subsequently, within the backstepping framework, the integration of preset performance theory and command filtering technology addresses the differential complexity challenges commonly encountered in traditional backstepping methods. This approach ensures rapid convergence of the system’s tracking error within predetermined boundaries. The efficacy of this strategy is demonstrated through simulation instances.

Keywords

steel structure; robotic arm; output feedback; command filter; prescribed performance

Hrčak ID:

319797

URI

https://hrcak.srce.hr/319797

Publication date:

1.1.2025.

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