A fuzzy-genetic control system in the ABS for the control of semi-active vehicle suspensions

Author:

Fargione Giovanna,Tringali Domenico,Risitano GiacomoORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference11 articles.

1. Implementation and testing of a nonlinear fuzzy rule based algorithm for antilock braking of a scaled vehicle;Anish,2002

2. Wheel slip control in abs brakes using gain scheduled optimal control with constraints;Idar,2003

3. An antilock-braking systems (ABS) Control: a technical review;Aly Ayman;Intell Control Autom,2011

4. A soft computing approach to fuzzy sky-hook control of semiactive sospension;Caponetto;IEEE Trans Control Syst Technol,2003

5. Low level control layer definition for autonomous vehicles based on fuzzy logic;Naranjo;Intell Autom Soft Comput,2012

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1. Anti-lock braking control using an interval type-2 fuzzy neural network scheme for electric vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-12-12

2. Sensitivity Analysis and Optimization of the Hydraulic Interconnected Suspension Damping System of a Small Rescue Craft;Journal of Marine Science and Engineering;2023-09-25

3. Optimized PID Controller Using Genetic Algorithm for Anti-lock Brake System;SAE Technical Paper Series;2023-04-11

4. Enhancing the vibratory roller's ride comfort with semi-active seat suspension embedded by quasi-zero stiffness structure;International Journal of Dynamics and Control;2023-02-03

5. Fuzzy Controllers of Antilock Braking System: A Review;International Journal of Fuzzy Systems;2022-10-17

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