Title :
Neural observer by coordinate transformation
Author :
Delgado, A. ; Hou, M. ; Kambhampati, C.
Author_Institution :
Electr. & Electron. Eng. Dept., Nat. Univ. of Colombia, Bogota, Colombia
Abstract :
Nonlinear control affine systems with maximum relative degree and a class of nonlinear differential equations can be transformed into a state representation known as the normal form. Based on the normal form an observer is designed using neural networks as approximation of nonlinear terms in the normal form and the observer gain is determined with a previous result in a triangular form.
Keywords :
neurocontrollers; nonlinear control systems; nonlinear differential equations; observers; coordinate transformation; neural networks; neural observer; nonlinear control affine system; nonlinear differential equations; triangular system;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:20045069
