Adaptive control of multivariable dynamic systems using independent self-tuning neurons

In this paper an adaptive controller composed of several independent self-tuning neurons for multivariable dynamic systems is developed. Unlike traditional fully connected neural network, there are no synaptic connections among the independent neurons in our proposed controller. Each self-tuning neuron can be regarded as an independent adaptive controller. It eases the hardware implementation due to the simplicity of our proposed neuron controller. Two case studies are provided to demonstrate the use of the proposed controller, where the system dynamics is fully known or only partially known.