A Comparison of Neural Networks, Linear Controllers, Genetic Algorithms and Simulated Annealing for Real Time Control
Marcello Chiaberge, Juan Julián Merelo, Leonardo Maria Reyneri, A. Prieto, L. Zocca · 1994
1 This paper reports a performance comparison between traditional (linear PID controller) and cognitive methods (neural networks, genetic algorithms and simulated annealing) applied to the problem of real-time control. A one-axis magnetic bearing is considered as a case study and cognitive methods have been successfully applied to its control. Comparisons are made using a real test setup. It is shown that hybrid approaches provide the best performance among all the methods analysed. 1