Passengers’ Interior Climate Parameters Optimization Using Intelligent Control with Neural Networks

2007
Ivars Beinarts, Anatolijs Ļevčenkovs

Main idea of the paper is to use artificial neural networks and intelligent agent negotiation algorithms to create an algorithm and coordination mechanism for vehicle passengers’ interior climate parameters control to save electrical energy and to increase the level of comfort for passengers. This paper provides the mathematical model and algorithm for optimal control of the climate control system. This paper provides the mathematical model and algorithm for optimal control of the climate control system.

Atslēgas vārdi
neural networks, intelligent control, mechatronic system, energy saving, climate control

Beinarts, I., Ļevčenkovs, A. Passengers’ Interior Climate Parameters Optimization Using Intelligent Control with Neural Networks. 2. Gliwice: Chair of Automatic Control in Transport, Faculty of Transport, Silesian University of Technology, 2007. 8 lpp.

Publikācijas valoda
English (en)