Title :
Alternate estimator for optimally sensitive systems
Author :
Pedersen, K.C. ; Nardizzi, L.R.
Author_Institution :
Southern Methodist University Institute of Technology, Dallas, TX, USA
fDate :
2/1/1972 12:00:00 AM
Abstract :
The synthesis of an optimally sensitive control system is extended to the noisy case, and it is shown that estimates of the present state and unknown plant parameter vectors are sufficient. The resulting system is optimally sensitive to errors in both the initial state and the unknown plant parameters.
Keywords :
Discrete-time systems; Sensitivity optimization; State estimation; Additive white noise; Control system synthesis; Controllability; Covariance matrix; Equations; Optimal control; Random variables; Smoothing methods; State estimation; Technological innovation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1972.1099900
