Title :
Digital Set Point Control of Nonlinear Stochastic Systems
Author :
Moose, R.L. ; Vanlandingham, H.F. ; Zwicke, P.E.
Author_Institution :
Electrical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061.
Abstract :
A technique for digital control of nonlinear stochastic plants is presented. The development achieves a practical digital algorithm with which the closed-loop system behaves in a classical Type I manner even with gross nonlinearities in the plant structure and low signal-to-noise power ratios. The design procedure is explained in detail and illustrated by an example whose simulated responses testify to the practicality of the approach.
Keywords :
Adaptive estimation; Control systems; Digital control; Equations; Instruments; Linear approximation; Nonlinear control systems; Piecewise linear approximation; State estimation; Stochastic systems;
Journal_Title :
Industrial Electronics and Control Instrumentation, IEEE Transactions on
DOI :
10.1109/TIECI.1978.351496
