Title :
Peak-seeking control using gradient and Hessian estimates
Author :
Ryan, J.J. ; Speyer, J.L.
Author_Institution :
NASA DFRC, UCLA, Los Angeles, CA, USA
fDate :
June 30 2010-July 2 2010
Abstract :
A peak-seeking control method is presented which utilizes a linear time-varying Kalman filter. Performance function coordinate and magnitude measurements are used by the Kalman filter to estimate the gradient and Hessian of the performance function. The gradient and Hessian are used to command the system toward a local extremum. The method is naturally applied to multiple-input multiple-output systems. Applications of this technique to a single-input single-output example and a two-input one-output example are presented.
Keywords :
Hessian matrices; Kalman filters; MIMO systems; gradient methods; linear systems; optimisation; time-varying systems; Hessian estimates; gradient estimates; linear time varying Kalman filter; local extremum; multiple input multiple output systems; peak seeking control; Actuators; Adaptive control; Control systems; Coordinate measuring machines; Displays; Filters; MIMO; Nonlinear control systems; Observability; Optimization methods;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531081