Neural network architectures: an introduction
Neural network architectures: an introduction
Neural networks for control
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural networks for control systems: a survey
Automatica (Journal of IFAC)
Neuro-Control Systems: Theory and Applications
Neuro-Control Systems: Theory and Applications
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Recently, neural network techniques have widely used in designing adaptive and learning controllers for nonlinear systems. However, it costs a lot of time for learning of the neural network included in the control system. Furthermore, the physical meaning of neural networks constructed as a result, is not obvious. In this paper, a design scheme of self-tuning PID controllers is proposed, which has a structure of fusing self-tuning and neural network techniques. The newly proposed scheme enables us to adjust PID gains quickly.