Universal neural controllers and stability analysis
Journal
International Journal of Systems Science
Journal Volume
27
Journal Issue
2
Pages
171-177
Date Issued
1996
Author(s)
Chang F.-Y.
Abstract
A set Γ of neural controllers is a universal neural controller if and only if any given controllable process P can also be controlled by a specific neural controller in Γ. Given any continuous real-valued controller on a compact set, there exists an element in the set Γ of PD/PI type inverse gaussian and gaussian potential function neural controllers (IGFNCs, GPFNCs) that could approximate the given continuous controller to any degree of accuracy. An application of this result shows that this type of radial basis function neural controller (RBFNCs) is a universal neural controller. Hence, any given controllable process can be controlled by this type of RBFNCs operating simultaneously. To realize the universal neural controller in practical processes, a stable region of PD type GPFNC control system is studied in parametric space of the gaussian potential frunctton network (GPFN). ? 1996 Taylor & Francis Group, LLC.
Type
journal article