ArticleScientific reports2021
Complete model-free siding mode control (CMFSMC).
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Perching of quadrotor using adaptive second-order continuous control in the presence of uncertainties.Scientific reports · 2026Article
- Direct torque control for a six phase induction motor using a fuzzy based and sliding mode controller.Scientific reports · 2025Article
- Impedance Sliding-Mode Control Based on Stiffness Scheduling for Rehabilitation Robot Systems.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Non-Predictive Model-Free Control of Nonlinear Systems with Unknown Input Time Delay.Entropy (Basel, Switzerland) · 2023Article
- Adaptive nonsingular terminal sliding mode control of robot manipulator based on contour error compensation.Scientific reports · 2023Article
- An improved sliding mode approach for trajectory following control of nonholonomic mobile AGV.Scientific reports · 2022Article
- Current sensorless position-tracking control with angular acceleration error observers for hybrid-type stepping motors.Scientific reports · 2022Article
- Adaptive Fixed-Time Neural Networks Control for Pure-Feedback Non-Affine Nonlinear Systems with State Constraints.Entropy (Basel, Switzerland) · 2022Article
- Distributed adaptive fixed-time neural networks control for nonaffine nonlinear multiagent systems.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents a complete model-free sliding mode control (CMFSMC) framework for the control of continuous-time non-affine nonlinear dynamic systems with unknown models. The novelty lies in the introduction of two equalities to assign the derivative of the sliding functions, which generally bridges the designs of those model-based SMC and model-free SMC. The study includes a double SMC (DSMC) design, state observer design, and desired reference state vector design (whole system performance), which all do not require plant nominal models. The preconditions required in the CMFSMC are the plant dynamic order and the boundedness of plant and disturbances. U-model based control (U-control) is incorporated to configure the whole control system, that is (1) taking model-free double SMC as a robust dynamic inverter to cancel simultaneously both nonlinearity and dynamics of the underlying plants, (2) taking a model-free state observer to estimate the state vector, (3) taking invariant controller to specify the whole control system performance in a linear output feedback control and to provide desired reference state vector. The related properties are studied to support the concept/configuration development and the analytical formulations. Simulated case studies demonstrate the developed framework and show off the transparent design procedure for applications and expansions.
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.