Optimized neuro observer-based sliding mode control for a nonlinear system using fuzzy static sliding surface-Reference-Cited by-同舟云学术

Optimized neuro observer-based sliding mode control for a nonlinear system using fuzzy static sliding surface

Published:2022-07 Issue: Volume:124 Page:108904
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Hajipour Sanam^ORCID,Pourhashem Hamed^ORCID,Chegini Saeed Nezamivand,Bagheri Ahmad^ORCID

Funder

University of Guilan

Publisher

Elsevier BV

Subject

Software

Reference76 articles.

1. Control and stability studies of ball and beamsystem;Tahir;J. Mod. Technol. Eng.,2019

2. A hybrid global optimization algorithm: Particle swarm optimization in association with a genetic algorithm;Sahnehsaraei,2015

3. Optimal sliding and decoupled sliding mode tracking control by multi-objective particle swarm optimization and genetic algorithms;Taherkhorsandi,2015

4. Optimum sliding mode controller design based on skyhook model for nonlinear vehicle vibration model;Salehpour;Int. J. Automot. Eng.,2017

5. Suppressing vibration in a functionally graded material plateusing genetic algorithm particle swarm optimization and sliding mode control system;Moghaddam;Proc. Inst. Mech. Eng. E: J. Process Mech. Eng.,2016

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