Neural networks for control systems: a survey
Automatica (Journal of IFAC)
Nonlinear Control Systems
Direct Adaptive Neural Control with Integral-Plus-State Action
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Algorithms for Active Noise Control
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Review: Data-derived soft-sensors for biological wastewater treatment plants: An overview
Environmental Modelling & Software
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The aim of the present paper is to integrate a recurrent neural network in two schemes of real-time soft computing neural control. There are applied the following control schemes: an indirect and a direct trajectory tracking control, using the state and parameter information, given by an identification recurrent neural network.