Imperialist Competitive Algorithm Optimised Adaptive Neuro Fuzzy Controller for Hybrid Force Position Control of an Industrial Robot Manipulator: A Comparative Study-Reference-Cited by-同舟云学术

Imperialist Competitive Algorithm Optimised Adaptive Neuro Fuzzy Controller for Hybrid Force Position Control of an Industrial Robot Manipulator: A Comparative Study

Published:2020-10-01 Issue:4 Volume:12 Page:435-451
ISSN:1616-8658
Container-title:Fuzzy Information and Engineering
language:en
Short-container-title:Fuzzy Information and Engineering

Author:

Chaudhary Himanshu¹^ORCID,Panwar Vikas²,Sukavanam N.³,Chahar Bhawna⁴

Affiliation:

1. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, India

2. School of Vocational Studies & Applied Sciences, GBU, Greater Noida, India

3. Department of Mathematics, IITR, Roorkee, India

4. Department of Business Administration, Manipal University Jaipur, Jaipur, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Artificial Intelligence,Industrial and Manufacturing Engineering,Management Science and Operations Research,Logic,Information Systems,Control and Systems Engineering,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/16168658.2021.1921378

Reference24 articles.

1. Adaptive control of robot manipulators via velocity estimated feedback

2. High-gain observers in the state and parameter estimation of robots having elastic joints

3. PD control with feedforward compensation for robot manipulators: analysis and experimentation

4. PD CONTROL OF ROBOT WITH VELOCITY ESTIMATION AND UNCERTAINTIES COMPENSATION

5. Hybrid control of robot manipulators

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1. Trajectory tracking of Stanford robot manipulator by fractional-order sliding mode control;Applied Mathematical Modelling;2023-08

2. Application of Hybrid Algorithm in Robot Intelligent Control;2023 2nd International Conference for Innovation in Technology (INOCON);2023-03-03