Title :
Neural controllers for systems with unknown dynamics
Author :
Porter, William A. ; Liu, Wie
Author_Institution :
Alabama Univ., Huntsville, AL, USA
Abstract :
This study presents a methodology for specifying a neural controller for a system about which no a priori model information is available. The neural design presumes that a finite duration input/output (I/O) histogram on the system is available. The design procedure extracts from the histogram sufficient information to specify the neural feedback controller. The resultant controller will drive the system along a general output reference profile (unknown during the design). The resultant controller also exhibits the capability of disturbance rejection and the capacity to stabilize unstable plants.<>
Keywords :
discrete time systems; feedback; neurocontrollers; stability; discrete-time dynamical systems; disturbance rejection; feedback controller; finite duration input/output histogram; neural controllers; output reference profile; unknown dynamics; unstable plants; Adaptive control; Artificial neural networks; Computational modeling; Control system synthesis; Control systems; Histograms; Optical computing; State-space methods; Trajectory; Very large scale integration;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
