☆ 4.6 Article

Adaptive Fuzzy Backstepping Control Based on Dynamic Surface Control for Uncertain Robotic Manipulator

IEEE ACCESS (2022)

Related references

Note: Only part of the references are listed.

Article Automation & Control Systems

Fuzzy Integral Sliding-Mode Control for Nonlinear Semi-Markovian Switching Systems With Application

Wenhai Qi et al.

Summary: The issue of sliding-mode control design for a class of nonlinear semi-Markovian switching systems via T-S fuzzy approach is studied. Novel integral sliding-mode surfaces and a fuzzy SMC law under complex stochastic semi-Markovian switching process are proposed. The theoretical findings are validated through an electric circuit model.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

Add to Collection

Article Automation & Control Systems

ESO based sliding mode control for the welding robot with backstepping

Pengcheng Wang et al.

Summary: This paper investigates tracking control for robotic manipulators with high accuracy, proposing an ESO control strategy combined with sliding mode control and backstepping control to design a new controller with strong robustness and accuracy. The global stability of the controller is proven using Lyapunov function and barbalat theorem, and simulation and experiment results show performance comparisons with a PID controller, verifying the method's effectiveness through error analysis.

INTERNATIONAL JOURNAL OF CONTROL (2021)

Add to Collection

Article Automation & Control Systems

Finite Time Fractional-order Adaptive Backstepping Fault Tolerant Control of Robotic Manipulator

Zeeshan Anjum et al.

Summary: This paper investigates a finite time fault tolerant controller for robotic manipulators using fractional calculus theory and adaptive backstepping approach to achieve fast response and high-precision tracking. An adaptive form of the controller is established to handle overall uncertainties in the system, without requiring knowledge of actuator faults and external disturbances. The proposed controller ensures finite time convergence of the closed-loop system and attenuates the effects of actuator faults and uncertainties, as validated through simulation tests on a PUMA560 robot.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2021)

Add to Collection

Article Automation & Control Systems

Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems

Raul-Cristian Roman et al.

Summary: This paper proposes a novel data-driven algorithm that combines ADRC with fuzzy control and tunes it using Virtual Reference Feedback Tuning for automatic optimal tuning and time saving. By replacing the least-squares algorithm with Grey Wolf Optimizer, the stability of the fuzzy control system is guaranteed.

EUROPEAN JOURNAL OF CONTROL (2021)

Add to Collection

Article Automation & Control Systems

Composite trajectory tracking control for robot manipulator with active disturbance rejection

Danni Shi et al.

Summary: This paper investigates a novel disturbance observer and chattering-free adaptive sliding mode controllers for trajectory tracking of robot manipulators with unknown uncertainties and external disturbances. Simulation results demonstrate significant achievements in high-precision tracking performance and strong robustness.

CONTROL ENGINEERING PRACTICE (2021)

Add to Collection

Article Automation & Control Systems

Adaptive nonlinear observer-based sliding mode control of robotic manipulator for handling an unknown payload

Guiying Li et al.

Summary: This article introduces a novel approach to control robotic manipulators with an unknown constant payload, utilizing a nonlinear disturbance observer to estimate external forces induced by the payload. An adaptive technique is used to design the observer gain, which is then integrated with sliding mode control to alleviate chattering. The effectiveness of the proposed methods is validated through simulation results.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Vehicle-Vehicle Energy Interaction Converter of Electric Vehicles: A Disturbance Observer Based Sliding Mode Control Algorithm

Rui Wang et al.

Summary: The electric vehicle technology has great potential in reducing fuel consumption and CO2 emission, but its development is hindered by charger unavailability and range anxiety. This paper proposes an energy interaction converter controlled by a disturbance observer based sliding mode control algorithm to address the issue and improve performance.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Add to Collection

Article Computer Science, Information Systems

Design of fuzzy system-fuzzy neural network-backstepping control for complex robot system

Kunming Zheng et al.

Summary: This study addresses the control problem of complex robot systems with uncertainties and disturbances using the FS-FNN-BSC system, which guarantees accurate, stable and efficient control. By utilizing fuzzy system and fuzzy neural network technologies, modeling and non-modeling information is approximated and predicted, respectively. The stability of the FS-FNN-BSC system is proved based on the Lyapunov stability theorem, and its superiority is demonstrated through quantitative comparison with existing intelligent control methods on the series and parallel robots.

INFORMATION SCIENCES (2021)

Add to Collection

Article Automation & Control Systems

Adaptive output-feedback neural tracking control for uncertain switched MIMO nonlinear systems with time delays

Jie Kong et al.

Summary: This paper investigates adaptive output-feedback neural tracking control for uncertain switched MIMO nonstrict-feedback nonlinear systems with time delays. Neural networks and hypothesis are used to handle unknown factors, and an adaptive neural controller is constructed for each subsystem. It is proven that all signals and system outputs are bounded under arbitrary switching.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Add to Collection

Article Automation & Control Systems

Adaptive Fuzzy Backstepping Control for Stable Nonlinear Bilateral Teleoperation Manipulators With Enhanced Transparency Performance

Zheng Chen et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)

Add to Collection

Article Engineering, Mechanical

Adaptive fuzzy voltage-based backstepping tracking control for uncertain robotic manipulators subject to partial state constraints and input delay

Javad Keighobadi et al.

NONLINEAR DYNAMICS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Adaptive NN control for nonlinear systems with uncertainty based on dynamic surface control

Zhiyong Zhou et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Stabilization of Switched Nonlinear Systems by Adaptive Observer-Based Dynamic Surface Control with Nonlinear Virtual and Output Feedback

Shigen Gao et al.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2019)

Add to Collection

Article Engineering, Multidisciplinary

Intelligent Adaptive Dynamic Surface Control System With Recurrent Wavelet Elman Neural Networks for DSP-Based Induction Motor Servo Drives

Fayez F. M. El-Sousy et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Design of adaptive backstepping dynamic surface control method with RBF neural network for uncertain nonlinear system

Xiaoyu Shi et al.

NEUROCOMPUTING (2019)

Add to Collection

Article Thermodynamics

Adaptive double neural network control for micro-gyroscope based on dynamic surface controller

Yunmei Fang et al.

ADVANCES IN MECHANICAL ENGINEERING (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Adaptive fuzzy backstepping control for a class of uncertain nonlinear strict-feedback systems based on dynamic surface control approach

Jinzhu Peng et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Nonlinear Tracking Controller for DC/DC Boost Converter Voltage Control Applications via Energy-Shaping and Invariant Dynamic Surface Approach

Seok-Kyoon Kim et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2019)

Add to Collection

Article Automation & Control Systems

Dynamic surface method-based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification

Xuejian Wang et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING (2019)

Add to Collection

Article Robotics

Adaptive impedance control of uncertain robot manipulators with saturation effect based on dynamic surface technique and self-recurrent wavelet neural networks

Mohammad Hossein Hamedani et al.

ROBOTICA (2019)

Add to Collection

Article Automation & Control Systems

Fuzzy robust backstepping with estimation for the control of a robot manipulator

Yuksel Hacioglu et al.

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

Backstepping terminal sliding mode control of robot manipulator using radial basis functional neural networks

M. Vijay et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Add to Collection

Article Engineering, Multidisciplinary

Adaptive Fuzzy Control of Uncertain Robotic Manipulator

Jinglei Zhou et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2018)

Add to Collection

Article Computer Science, Information Systems

Tracking Control of Manipulator Based on High-Order Disturbance Observer

Wenchao Zheng et al.

IEEE ACCESS (2018)

Add to Collection

Article Automation & Control Systems

BACKSTEPPING ADAPTIVE FUZZY CONTROL FOR UNCERTAIN ROBOT MANIPULATOR

Jinglei Zhou

INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Adaptive fuzzy backstepping dynamic surface control for nonlinear Input-delay systems

Qi Zhou et al.

NEUROCOMPUTING (2016)

Add to Collection

Article Computer Science, Information Systems

Adaptive Dynamic Surface Control of MEMS Gyroscope Sensor Using Fuzzy Compensator

Dandan Lei et al.

IEEE ACCESS (2016)

Add to Collection

Article Computer Science, Artificial Intelligence

Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors

Jinpeng Yu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Add to Collection

Article Automation & Control Systems

ROBUST NEURO-FUZZY SLIDING MODE CONTROLLER FOR A FLEXIBLE ROBOT MANIPULATOR

Khedoudja Kherraz et al.

INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION (2015)

Add to Collection

Article Automation & Control Systems

Dynamic surface control for a class of nonlinear systems

D Swaroop et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.