Control of nonlinear dynamical systems using neural networks: controllability and stabilization
Asriel U. Levin, Kumpati S. Narendra · IEEE Transactions on Neural Networks · 1993
An attempt is made to indicate how practically viable controllers can be designed using neural networks, based on results in nonlinear control theory. The problem of stabilization of a dynamical system around an equilibrium point when the state of the system is accessible is considered. Simulation results are included to complement the theoretical discussions.