Matches in SemOpenAlex for { <https://semopenalex.org/work/W4298148825> ?p ?o ?g. }
- W4298148825 endingPage "118891" @default.
- W4298148825 startingPage "118891" @default.
- W4298148825 abstract "Human–robot interaction control, a crucial technology in industrial manufacturing and rehabilitation robot, has been widely explored in recent years. However, there are still some problems in the existing strategy need to be solved for the rehabilitation robot: First, the human–robot confrontation (HRC) in motion control affects the information interaction. Second, in non-ideal conditions, the safety and accuracy of the control system will be disturbed by external unknown factors. Third, the existing continuous-time controllers are hard to be applied to hardware platforms. In this paper, an upper limb-exoskeleton coupling dynamics model based on human active motion intention is established to overcome HRC, and promote active and natural human–robot interaction control. Specifically, the Elman neural network (ENN) model is devised and utilized to estimate human active motion intention using the surface electromyography (sEMG) signals. On the basis of human active motion intention, the discrete-time controller predicated on noise-tolerant zeroing neurodynamic model (termed as NTZND controller) is proposed for constructing the discrete-time human–robot interaction control system (DTHRICS) under non-ideal conditions. In addition, the zeroing neurodynamic (ZND) controller, the gradient neural network (GNN) and proportional–derivative (PD) controllers are designed for comparisons. Theoretical analyses demonstrate that the 0-stability, consistency and convergence of the designed DTHRICS. The performance indicators root mean square errors (RMSEs) and coefficient of determination (R2) of the DTHRICS with different controllers are analyzed and compared under ideal and non-ideal conditions. Ultimately, numerical results illustrate that the NTZND-based DTHRICS (with the lowest performance RMSEs →0 and the highest performance R2→1, p<0.05) is significantly superior to the DTHRICS with the ZND, the GNN and the PD controllers in terms of control accuracy, noise-tolerant property and real time performance, while utilized for upper limb multi-joint motion control under non-ideal conditions." @default.
- W4298148825 created "2022-10-01" @default.
- W4298148825 creator A5017476754 @default.
- W4298148825 creator A5025165146 @default.
- W4298148825 creator A5025177880 @default.
- W4298148825 creator A5030921116 @default.
- W4298148825 creator A5050729402 @default.
- W4298148825 date "2023-03-01" @default.
- W4298148825 modified "2023-10-16" @default.
- W4298148825 title "Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human–robot interaction control in non-ideal conditions" @default.
- W4298148825 cites W2072588720 @default.
- W4298148825 cites W2118766245 @default.
- W4298148825 cites W2138594241 @default.
- W4298148825 cites W2140036652 @default.
- W4298148825 cites W2140246545 @default.
- W4298148825 cites W2390401404 @default.
- W4298148825 cites W2509948470 @default.
- W4298148825 cites W2716009774 @default.
- W4298148825 cites W2734646792 @default.
- W4298148825 cites W2742744172 @default.
- W4298148825 cites W2783009944 @default.
- W4298148825 cites W2795105096 @default.
- W4298148825 cites W2801420010 @default.
- W4298148825 cites W2897254705 @default.
- W4298148825 cites W2947922706 @default.
- W4298148825 cites W2963614628 @default.
- W4298148825 cites W2982054674 @default.
- W4298148825 cites W2991535721 @default.
- W4298148825 cites W3007397176 @default.
- W4298148825 cites W3024094413 @default.
- W4298148825 cites W3045672284 @default.
- W4298148825 cites W3091062559 @default.
- W4298148825 cites W3123648169 @default.
- W4298148825 cites W3165417076 @default.
- W4298148825 cites W3175131573 @default.
- W4298148825 cites W3187113103 @default.
- W4298148825 cites W3201991715 @default.
- W4298148825 cites W3211763588 @default.
- W4298148825 cites W3212851478 @default.
- W4298148825 cites W3216317588 @default.
- W4298148825 cites W4206903421 @default.
- W4298148825 cites W4211070880 @default.
- W4298148825 cites W4223627534 @default.
- W4298148825 cites W4229061265 @default.
- W4298148825 cites W4281776359 @default.
- W4298148825 cites W4281785108 @default.
- W4298148825 cites W4283780626 @default.
- W4298148825 doi "https://doi.org/10.1016/j.eswa.2022.118891" @default.
- W4298148825 hasPublicationYear "2023" @default.
- W4298148825 type Work @default.
- W4298148825 citedByCount "4" @default.
- W4298148825 countsByYear W42981488252023 @default.
- W4298148825 crossrefType "journal-article" @default.
- W4298148825 hasAuthorship W4298148825A5017476754 @default.
- W4298148825 hasAuthorship W4298148825A5025165146 @default.
- W4298148825 hasAuthorship W4298148825A5025177880 @default.
- W4298148825 hasAuthorship W4298148825A5030921116 @default.
- W4298148825 hasAuthorship W4298148825A5050729402 @default.
- W4298148825 hasConcept C111472728 @default.
- W4298148825 hasConcept C112972136 @default.
- W4298148825 hasConcept C115961682 @default.
- W4298148825 hasConcept C119857082 @default.
- W4298148825 hasConcept C138885662 @default.
- W4298148825 hasConcept C145460709 @default.
- W4298148825 hasConcept C154945302 @default.
- W4298148825 hasConcept C162324750 @default.
- W4298148825 hasConcept C203479927 @default.
- W4298148825 hasConcept C2775924081 @default.
- W4298148825 hasConcept C2776639384 @default.
- W4298148825 hasConcept C2777303404 @default.
- W4298148825 hasConcept C41008148 @default.
- W4298148825 hasConcept C44154836 @default.
- W4298148825 hasConcept C47446073 @default.
- W4298148825 hasConcept C50522688 @default.
- W4298148825 hasConcept C50644808 @default.
- W4298148825 hasConcept C6557445 @default.
- W4298148825 hasConcept C86803240 @default.
- W4298148825 hasConcept C90509273 @default.
- W4298148825 hasConcept C99498987 @default.
- W4298148825 hasConceptScore W4298148825C111472728 @default.
- W4298148825 hasConceptScore W4298148825C112972136 @default.
- W4298148825 hasConceptScore W4298148825C115961682 @default.
- W4298148825 hasConceptScore W4298148825C119857082 @default.
- W4298148825 hasConceptScore W4298148825C138885662 @default.
- W4298148825 hasConceptScore W4298148825C145460709 @default.
- W4298148825 hasConceptScore W4298148825C154945302 @default.
- W4298148825 hasConceptScore W4298148825C162324750 @default.
- W4298148825 hasConceptScore W4298148825C203479927 @default.
- W4298148825 hasConceptScore W4298148825C2775924081 @default.
- W4298148825 hasConceptScore W4298148825C2776639384 @default.
- W4298148825 hasConceptScore W4298148825C2777303404 @default.
- W4298148825 hasConceptScore W4298148825C41008148 @default.
- W4298148825 hasConceptScore W4298148825C44154836 @default.
- W4298148825 hasConceptScore W4298148825C47446073 @default.
- W4298148825 hasConceptScore W4298148825C50522688 @default.
- W4298148825 hasConceptScore W4298148825C50644808 @default.
- W4298148825 hasConceptScore W4298148825C6557445 @default.
- W4298148825 hasConceptScore W4298148825C86803240 @default.