Control of nonlinear dynamical systems using neural networks: controllability and stabilization

Authors:
A. U. Levin;K. S. Narendra
Affiliations:
Dept. of Comput. Sci. & Electr. Eng., Oregon Graduate Inst. of Sci. & Technol., Klamath Falls, OR;-
Venue:
IEEE Transactions on Neural Networks
Year:
1993

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Abstract

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