A new system of global fractional-order interval implicit projection neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.12.026
Abstract: The purpose of this paper is to introduce and investigate a new system of global fractional-order interval implicit projection neural networks. An existence and uniqueness theorem of the equilibrium point for such kind of global… read more here.
Keywords: interval implicit; global fractional; projection neural; fractional order ... See more keywords
Tri-Projection Neural Network for Redundant Manipulators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3189664
Abstract: Resolving redundancy for manipulators subject to various limits is significant in robotics. The problem is often handled by an optimization formulation with joint velocity being the decision variable, for which how to address the joint… read more here.
Keywords: neural network; network; network redundant; tri projection ... See more keywords
Adaptive Projection Neural Network for Kinematic Control of Redundant Manipulators With Unknown Physical Parameters
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2774720
Abstract: Redundancy resolution is of great importance in the control of manipulators. Among the existing results for handling this issue, the quadratic program approaches, which are capable of optimizing performance indices subject to physical constraints, are… read more here.
Keywords: projection neural; control; physical parameters; neural network ... See more keywords
A Projection Neural Network for the Generalized Lasso
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DOI: 10.1109/tnnls.2019.2927282
Abstract: The generalized lasso (GLasso) is an extension of the lasso regression in which there is an $l_{1}$ penalty term (or regularization) of the linearly transformed coefficient vector. Finding the optimal solution of GLasso is not… read more here.
Keywords: neural network; network generalized; generalized lasso; proposed neural ... See more keywords
Time-Scale Expansion-Based Approximated Optimal Control for Underactuated Systems Using Projection Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2703140
Abstract: In this paper, a time-scale expansion-based scheme is proposed for approximately solving the optimal control problem of continuous-time underactuated nonlinear systems subject to input constraints and system dynamics. By time-scale Taylor approximation of the original… read more here.
Keywords: projection neural; control; problem; time ... See more keywords