Control of an active suspension system based on long short-term memory (LSTM) learning

• Published in: Advances in mechanical engineering Vol. 15; no. 2
• Main Authors: Dridi, Issam, Hamza, Anis, Ben Yahia, Noureddine
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.02.2023; Sage Publications Ltd; SAGE Publishing
• Subjects: Active control; Control methods; Heavy duty trucks; Heavy vehicles; Mechanical shock; Mechanics (physics); Network control; Neural networks; Proportional integral derivative; Recurrent neural networks; Suspension systems; recurrent neural network (RNN); long short-term memory (LSTM); Active suspension; suspension stability; root mean square (RMS)

As part of our study, which is a continuation of the research carried out by Dr. Anis HAMZA, Intelligent Neural Network Control for Active Heavy Truck Suspension Chapter of the book Advances in Mechanics and Mechanics. This working model is an intelligent, active suspension system with RNN (Recurren...