Title :
A phase plane technique for non-linear system modelling
Author_Institution :
Control Syst. Centre, Univ. of Manchester Inst. of Sci. & Technol., UK
Abstract :
A technique for the time-domain modeling of nonlinear plants is developed. The system learns the plant characteristics by applying step inputs and recording the resultant phase-plane trajectories as a set of temporal vectors. The density of the vectors is controlled by a nonlinear grid in the phase plane. An updating mechanism allows plant changes to be tracked, and an inference strategy is developed to allow behaviour prediction from the stored model. Operation of the system is demonstrated by simulation results
Keywords :
inference mechanisms; learning systems; nonlinear systems; time-domain analysis; inference; learning systems; nonlinear grid; nonlinear systems; phase plane technique; resultant phase-plane trajectories; temporal vectors; time-domain modeling; Computational modeling; Control systems; Fuzzy logic; Learning systems; Neural networks; Nonlinear control systems; Power system modeling; Predictive models; Quantization; Steady-state;
Conference_Titel :
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-0546-9
DOI :
10.1109/ISIC.1992.225133
