On the public citation graph

Parallel Network-Based Sliding Mode Tracking Control for Robotic Manipulators with Uncertain Dynamics

0 signed · 56 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-015-1873-4openalex-snapshot
Adaptive trajectory tracking neural network control with robust compensator for robot manipulators
inferredcites →https://doi.org/10.1007/s00521-020-05515-0openalex-snapshot
Adaptive control of manipulator based on neural network
inferredcites →https://doi.org/10.1007/s00521-022-06960-9openalex-snapshot
Literature review: efficient deep neural networks techniques for medical image analysis
inferredcites →https://doi.org/10.1007/s10462-013-9405-zopenalex-snapshot
Extreme learning machine: algorithm, theory and applications
inferredcites →https://doi.org/10.1007/s10489-022-03445-zopenalex-snapshot
An adaptive terminal sliding mode control of stone-carving robotic manipulators based on radial basis function neural network
inferredcites →https://doi.org/10.1007/s10586-017-1018-xopenalex-snapshot
Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network
inferredcites →https://doi.org/10.1007/s12555-018-0210-yopenalex-snapshot
Robust Adaptive Sliding Mode Neural Networks Control for Industrial Robot Manipulators
inferredcites →https://doi.org/10.1007/s12652-020-01809-2openalex-snapshot
Adaptive sliding mode control of robot based on fuzzy neural network
inferredcites →https://doi.org/10.1007/s12652-020-02647-yopenalex-snapshot
Classification of retinal fundus image using MS-DRLBP features and CNN-RBF classifier
inferredcites →https://doi.org/10.1007/s40815-022-01420-xopenalex-snapshot
Adaptive Prescribed Performance Fuzzy Control for n-Link Flexible-Joint Robots Under Event-Triggered Mechanism
inferredcites →https://doi.org/10.1016/j.apenergy.2019.05.044openalex-snapshot
A hybrid deep learning-based neural network for 24-h ahead wind power forecasting
inferredcites →https://doi.org/10.1016/j.conengprac.2022.105064openalex-snapshot
Extreme-learning-machine-based robust integral terminal sliding mode control of bicycle robot
inferredcites →https://doi.org/10.1016/j.epsr.2019.106025openalex-snapshot
A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks
inferredcites →https://doi.org/10.1016/j.isatra.2016.01.016openalex-snapshot
An adaptive PID like controller using mix locally recurrent neural network for robotic manipulator with variable payload
inferredcites →https://doi.org/10.1016/j.isatra.2021.12.044openalex-snapshot
A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system
inferredcites →https://doi.org/10.1016/j.jfranklin.2019.12.042openalex-snapshot
Constrained neural adaptive PID control for robot manipulators
inferredcites →https://doi.org/10.1016/j.mechatronics.2007.04.009openalex-snapshot
Motor-mechanism dynamic model based neural network optimized computed torque control of a high speed parallel manipulator
inferredcites →https://doi.org/10.1016/j.neucom.2019.04.087openalex-snapshot
Deep convolutional neural network based fractional-order terminal sliding-mode control for robotic manipulators
inferredcites →https://doi.org/10.1016/j.neucom.2020.03.050openalex-snapshot
Sliding-Mode-Control-Theory-Based Adaptive General Type-2 Fuzzy Neural Network Control for Power-line Inspection Robots
inferredcites →https://doi.org/10.1016/j.neucom.2021.03.033openalex-snapshot
Adaptive bias RBF neural network control for a robotic manipulator
inferredcites →https://doi.org/10.1016/s0005-1098(02)00147-4openalex-snapshot
Non-singular terminal sliding mode control of rigid manipulators
inferredcites →https://doi.org/10.1049/iet-cta.2015.1218openalex-snapshot
Adaptive fractional‐order non‐singular fast terminal sliding mode control for robot manipulators
inferredcites →https://doi.org/10.1063/5.0037054openalex-snapshot
Model-free adaptive sliding mode control with adjustable funnel boundary for robot manipulators with uncertainties
inferredcites →https://doi.org/10.1080/0951192x.2019.1690685openalex-snapshot
Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace
inferredcites →https://doi.org/10.1088/1742-6596/1802/3/032072openalex-snapshot
Research on Manipulator Tracking Control Algorithm Based on RBF Neural Network
inferredcites →https://doi.org/10.1109/access.2020.2968925openalex-snapshot
Fuzzy Logic Control of an Uncertain Manipulator With Full-State Constraints and Disturbance Observer
inferredcites →https://doi.org/10.1109/lra.2020.2996065openalex-snapshot
Adaptive Fuzzy Sliding Mode Control for High-Precision Motion Tracking of a Multi-DOF Micro/Nano Manipulator
inferredcites →https://doi.org/10.1109/tcsii.2022.3149886openalex-snapshot
Adaptive Fuzzy Tracking Control of Switched MIMO Nonlinear Systems With Full State Constraints and Unknown Control Directions
inferredcites →https://doi.org/10.1109/tii.2020.2995142openalex-snapshot
Visual-Guided Robotic Object Grasping Using Dual Neural Network Controllers
inferredcites →https://doi.org/10.1109/tsmc.2019.2963072openalex-snapshot
Adaptive Fuzzy Full-State and Output-Feedback Control for Uncertain Robots With Output Constraint
inferredcites →https://doi.org/10.1155/2021/7924953openalex-snapshot
Adaptive Fractional‐Order Nonsingular Fast Terminal Sliding Mode Control for Manipulators
inferredcites →https://doi.org/10.1155/2021/9996719openalex-snapshot
Fractional-Order Iterative Sliding Mode Control Based on the Neural Network for Manipulator
inferredcites →https://doi.org/10.1177/0142331218778324openalex-snapshot
Sliding mode control with deep learning method for rotor trajectory control of active magnetic bearing system
inferredcites →https://doi.org/10.1177/16878132221109994openalex-snapshot
Research on a hybrid controller combining RBF neural network supervisory control and expert PID in motor load system control
inferredcites →https://doi.org/10.1177/1729881420947562openalex-snapshot
Improved neural network-based adaptive tracking control for manipulators with uncertain dynamics
inferredcites →https://doi.org/10.3390/act10020028openalex-snapshot
Towards End-to-End Deep Learning Performance Analysis of Electric Motors
inferredcites →https://doi.org/10.3390/act10030066openalex-snapshot
Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
inferredcites →https://doi.org/10.3390/act10110288openalex-snapshot
Chattering-Suppressed Sliding Mode Control for Flexible-Joint Robot Manipulators
inferredcites →https://doi.org/10.3390/act11020034openalex-snapshot
Research on Trajectory Tracking of Sliding Mode Control Based on Adaptive Preview Time
inferredcites →https://doi.org/10.3390/act11030085openalex-snapshot
Distributed Drive Electric Bus Handling Stability Control Based on Lyapunov Theory and Sliding Mode Control
inferredcites →https://doi.org/10.3390/act11090255openalex-snapshot
Neural Adaptive Robust Motion-Tracking Control for Robotic Manipulator Systems
inferredcites →https://doi.org/10.3390/act11100275openalex-snapshot
ECNN: Intelligent Fault Diagnosis Method Using Efficient Convolutional Neural Network
inferredcites →https://doi.org/10.3390/act7040089openalex-snapshot
Adaptive Control Design and Stability Analysis of Robotic Manipulators
inferredcites →https://doi.org/10.3390/electronics11050726openalex-snapshot
A Novel Fixed-Time Trajectory Tracking Strategy of Unmanned Surface Vessel Based on the Fractional Sliding Mode Control Method
inferredcites →https://doi.org/10.3390/math9172055openalex-snapshot
Adaptive Proportional Integral Robust Control of an Uncertain Robotic Manipulator Based on Deep Deterministic Policy Gradient
inferredcites →https://doi.org/10.3390/s19183816openalex-snapshot
Multi-sensor Fusion Road Friction Coefficient Estimation During Steering with Lyapunov Method
inferredcites →https://doi.org/10.3906/elk-2001-129openalex-snapshot
Adaptive fast sliding neural control for robot manipulator

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4577295openalex-extracted
Fault-Tolerant Control of Underwater Tension Leg Platform Based on Sliding Mode Control and Adaptive Disturbance Observer
inferred← citeshttps://doi.org/10.1002/rnc.7945openalex-snapshot
Improved Sliding Mode Active Disturbance Rejection Control of an Auxiliary Robotic Arm for Puncture Robots
inferred← citeshttps://doi.org/10.1007/s00521-025-10980-6openalex-snapshot
An enhanced neuro-adaptive PID sliding mode control for robot manipulators:promoting sustainable automation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2026.111488openalex-snapshot
Trajectory generation and tracking in industrial multi-axis motion-control systems: A systematic literature review
inferred← citeshttps://doi.org/10.3390/act12120464openalex-snapshot
Research on Neural Network Terminal Sliding Mode Control of Robotic Arms Based on Novel Reaching Law and Improved Salp Swarm Algorithm
inferred← citeshttps://doi.org/10.3390/act13020051openalex-snapshot
Indirect Adaptive Control Using Neural Network and Discrete Extended Kalman Filter for Wheeled Mobile Robot
inferred← citeshttps://doi.org/10.3390/act15070404openalex-snapshot
Adaptive Fixed-Time Terminal Sliding Mode Control for Robot Manipulators via Time-Delay Estimation
inferred← citeshttps://doi.org/10.3390/app13137954openalex-snapshot
A Novel Constant Damping and High Stiffness Control Method for Flexible Space Manipulators Using Luenberger State Observer
inferred← citeshttps://doi.org/10.3390/robotics13090126openalex-snapshot
Closed-Form Continuous-Time Neural Networks for Sliding Mode Control with Neural Gravity Compensation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.