Title :
Microcomputer-Based Adaptive Observer for Nonlinear Systems
Author :
Sinha, Naresh K. ; Law, Stephen S.Y. ; Li, M.H.
Author_Institution :
Department of Electrical and Computer Engineering, Faculty of Engineering, McMaster University, Hamilton, Ont., Canada L8S 4L7.
fDate :
5/1/1981 12:00:00 AM
Abstract :
The use of a Luenberger-type observer with an adaptive filter is discussed for estimating the states of a nonlinear system from the measurements of the output of the system, which may be contaminated with noise. Software development as well as experiments on implementation using an Intel MDS 800 microcomputer system are described in detail.
Keywords :
Adaptive filters; Asia; Manufacturing; Microcomputers; Noise measurement; Nonlinear systems; Observers; Pollution measurement; Programming; State estimation;
Journal_Title :
Industrial Electronics and Control Instrumentation, IEEE Transactions on
DOI :
10.1109/TIECI.1981.351039
