Title :
A neural-control method for nonlinear plants
Author :
Adetona, O. ; Sathananthan, S. ; Keel, L.H.
Author_Institution :
Center of Excellence in Inf. Syst., Tennessee State Univ., Nashville, TN, USA
Abstract :
A novel controller design method for non-affine nonlinear dynamical systems is presented in this paper. The method is based on a new control law that is developed for any discrete, deterministic, time-invariant, nonlinear dynamical system in a subregion of an asymptotically stable equilibrium point of the plant. The control law is simple to implement and is based on a linearization of the input-output model of the plant at each time instant. It can be used to control both minimum phase and non-minimum phase non-affine nonlinear plants
Keywords :
asymptotic stability; control system synthesis; linearisation techniques; neurocontrollers; nonlinear dynamical systems; asymptotic stability; discrete time systems; equilibrium point; input-output model; linearization; minimum phase systems; neurocontrol; nonaffine nonlinear systems; nonlinear dynamical systems; nonminimum phase systems; Control systems; Delay; Design methodology; Ear; Information systems; Iterative methods; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Trajectory;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.876736
