ArticleSensors (Basel, Switzerland)2021
Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 24 citations in OpenAlex.
- Correction: Wang et al. Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.Sensors (Basel, Switzerland) · 2026Article
- IPT-DCD: Interpolation Predictor for Teleoperation Under Dynamic Communication Delay Using Deep Learning Approach.Sensors (Basel, Switzerland) · 2025Article
- Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform.Sensors (Basel, Switzerland) · 2022Article
- Sensors Allocation and Observer Design for Discrete Bilateral Teleoperation Systems with Multi-Rate Sampling.Sensors (Basel, Switzerland) · 2022Article
- Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence.Frontiers in neurorobotics · 2022Article
- Sparse Angle CBCT Reconstruction Based on Guided Image Filtering.Frontiers in oncology · 2022Article
- Adaptive control of time delay teleoperation system with uncertain dynamics.Frontiers in neurorobotics · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
A bilateral neural network adaptive controller is designed for a class of teleoperation systems with constant time delay, external disturbance and internal friction. The stability of the teleoperation force feedback system with constant communication channel delay and nonlinear, complex, and uncertain constant time delay is guaranteed, and its tracking performance is improved. In the controller design process, the neural network method is used to approximate the system model, and the unknown internal friction and external disturbance of the system are estimated by the adaptive method, so as to avoid the influence of nonlinear uncertainties on the system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.