Title :
Control of nonlinear dynamical systems using neural networks: controllability and stabilization
Author :
Levin, Asriel U. ; Narendra, Kumpati S.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Oregon Graduate Inst. of Sci. & Technol., Klamath Falls, OR, USA
fDate :
3/1/1993 12:00:00 AM
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
Keywords :
control system synthesis; controllability; neural nets; nonlinear control systems; stability; control system synthesis; controllability; equilibrium point; neural networks; nonlinear control theory; nonlinear dynamical systems; stabilization; Control system synthesis; Control systems; Control theory; Controllability; Multi-layer neural network; Network synthesis; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems;
Journal_Title :
Neural Networks, IEEE Transactions on
