Answers are grounded in this paper and cite their sources.
.Neural networks have been applied very successfully in the identification and control of dynamic systems. The universal approximation capabilities of the multilayer perceptron have made it a popular choice for modeling nonlinear systems and for implementing general-purpose nonlinear controllers. In this paper we try to model and control the mass-spring-damper mechanism as a 1 DOF system using neural networks. The control architecture used in this paper is Model reference controller (MRC) as one of the popular neural network control architectures.
No takes yet. Share an insight, caveat, or question.
Azizi et al. (2013) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: