Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators
Sign Up to like & getrecommendations! Published in 2018 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9363-y
Abstract: This paper addresses the learning control problem for a group of robot manipulators with homogeneous nonlinear uncertain dynamics, where all the robots have an identical system structure but the reference signals to be tracked differ.… read more here.
Keywords: control; nonlinear uncertain; homogeneous nonlinear; robot manipulators ... See more keywords
Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.001
Abstract: Abstract This paper focuses on the recognition problem of dynamical patterns consisting of sampling sequences. Specifically, based on the concept of structural stability, a novel similarity measure for dynamical patterns is first given. Then, a… read more here.
Keywords: dynamical pattern; sampling sequences; deterministic learning; structural stability ... See more keywords
Observer Design for Sampled-Data Systems via Deterministic Learning.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2020.3047226
Abstract: A unified approach is proposed to design sampled-data observers for a certain type of unknown nonlinear systems undergoing recurrent motions based on deterministic learning in this article. First, a discrete-time implementation of high-gain observer (HGO)… read more here.
Keywords: systems via; deterministic learning; design sampled; sampled data ... See more keywords