Title :
MMAE-Based Control with Space-Time Point Process Observations
Author :
Maybeck, Peter S. ; Zicker, William L.
Author_Institution :
Air Force Institute of Technology
fDate :
5/1/1985 12:00:00 AM
Abstract :
A multiple model adaptive estimator (MMAE) has been formulated to estimate the state of a dynamic system modeled by a linear stochastic differential equation, from which measurements, described as a noise-corrupted space-time point process functionally related to that state, are extracted. Assumed certainty equivalence is used to combine such an estimator with the LQ full-state feedback controller to synthesize a practical, implementable controller. Performance of the estimator and resultant controller characteristics are investigated via simulation as a function of approximation method used to limit the full-scale estimator to finite dimensionality and also as a function of important parameters defining the dynamics and observation processes.
Keywords :
Filter bank; Force measurement; Gaussian noise; History; Laser beams; Noise measurement; Nonlinear filters; Space technology; State estimation; Stochastic systems;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1985.310559