Dynamic neural network-based feedback linearization control of full-car suspensions using PSO-Reference-Cited by-同舟云学术

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Dynamic neural network-based feedback linearization control of full-car suspensions using PSO

Published:2018-09 Issue: Volume:70 Page:723-736
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Pedro Jimoh O.,Dangor Muhammed,Dahunsi Olurotimi A.^ORCID,Ali M. Montaz

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Adaptive tracking control for active suspension systems with non-ideal actuators;Pan;J. Sound Vib.,2017

2. Evolutionary algorithm-based PID controller tuning for nonlinear quarter-car electrohydraulic vehicle suspensions;Dangor;Nonlinear Dyn.,2014

3. Saturated adaptive robust control for active suspension systems;Sun;IEEE Trans. Ind. Electron.,2013

4. Improved optimal sliding mode control for a non-linear vehicle active suspension system;Chen;J. Sound Vib.,2017

5. Intelligent feedback linearization control of nonlinear electrohydraulic suspension systems using particle swarm optimization;Pedro;Appl. Soft Comput.,2014

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1. Optimization of the Semi-Active-Suspension Control of BP Neural Network PID Based on the Sparrow Search Algorithm;Sensors;2024-03-08

2. A multi-agent optimization algorithm and its application to training multilayer perceptron models;Evolving Systems;2023-07-11

3. Active Suspension Control of Full Car Model Using Bat Optimized PID Controller;Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles;2023-02-10

4. Optimal design and dynamic performance analysis of a fractional-order electrical network-based vehicle mechatronic ISD suspension;Mechanical Systems and Signal Processing;2023-02

5. Integration of Robust Control with Reinforcement Learning for Safe Autonomous Vehicle Motion;IFAC-PapersOnLine;2023

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