Adaptive prescribed‐time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization-Reference-Cited by-同舟云学术

Adaptive prescribed‐time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization

Published:2020-12 Issue:19 Volume:14 Page:3301-3311
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Vahidi‐Moghaddam Amin¹^ORCID,Rajaei Arman²,Ayati Moosa³^ORCID,Vatankhah Ramin²,Hairi‐Yazdi Mohammad Reza³

Affiliation:

1. Department of Mechanical EngineeringMichigan State UniversityEast LansingMichiganUSA

2. School of Mechanical Engineering, Shiraz UniversityShirazIran

3. School of Mechanical Engineering, College of Engineering, University of TehranTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2020.0259

Reference42 articles.

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4. Control of MIMO mechanical systems interacting with actuators through viscoelastic linkages;Homaeinezhad M.R.;Mech. Mach. Theory,2020

5. Control of malaria outbreak using a non‐linear robust strategy with adaptive gains;Rajaei A.;IET Control Theory Appl.,2019

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