Title :
Optimal finite precision implementation of a state-estimate feedback controller
Author :
Gang, Luo ; GEVERS, Michel
Author_Institution :
Lab. d´´Autom., de Dynamique et d´´Anal. des Syst., Louvain Univ., Louvain-Laneuve, Belgium
fDate :
12/1/1990 12:00:00 AM
Abstract :
Expressions are derived for the sensitivity and the roundoff noise gain of the closed-loop transfer function of a system when the state estimate feedback controller is implemented with a finite word length and when the computations are performed in finite precision. This allows one to compare the sensitivity and noise gain over all equivalent state-variable implementations of the observer plus controller. The set of state-space models minimizing either the sensitivity or the roundoff noise gain is computed. Simulations compare the performance of the optimal implementations with respect to companion forms and a particular delta model
Keywords :
control system analysis; feedback; roundoff errors; sensitivity analysis; state estimation; state-space methods; transfer functions; closed-loop transfer function; delta model; finite precision implementation; finite word length; optimal implementations; roundoff noise gain; sensitivity; state-estimate feedback controller; state-space models; Adaptive control; Arithmetic; Constraint optimization; Dynamic range; Filters; Observers; Roundoff errors; State estimation; Transfer functions; Upper bound;
Journal_Title :
Circuits and Systems, IEEE Transactions on