Block-layout design using MAX-MIN ant system for saving energy on mass rapid transit systems
IEEE Transactions on Intelligent Transportation Systems
A retrospective on adaptive dynamic programming for control
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Intelligent control of braking process
Expert Systems with Applications: An International Journal
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A decentralized adaptive control system (ACS) for a four motor-generator four-wheel drive hybrid electric vehicle (HEV) is designed and its ability to deal with unknown tire dynamics, changing road surfaces, and vehicle loading is evaluated. A system composed of four separate adaptive controllers is designed to control the vehicle's speed, steering, side slip, and energy management system. A nonlinear simulation model for the vehicle dynamics and its power train components is developed and used to evaluate the performance of the ACS, while the vehicle is simultaneously turning and accelerating or braking under varying loading and icing conditions.