Title
Jointly optimized error-feedback and realization for roundoff noise minimization in state-estimate feedback digital controllers
Abstract
The joint optimization problem of error-feedback and realization for the closed-loop system with a state- estimate feedback digital controller is investigated where the main objective is to minimize the effects of round- off noise at the closed-loop system output subject to l2-norm dynamic-range scaling constraints. It is shown that the problem can be converted into an unconstrained optimization problem by using linear-algebraic tech- niques. The unconstrained optimization problem at hand is then solved iteratively by employing an efficient quasi-Newton algorithm with closed-form formulas for key gradient evaluation. Analytical details are given as to how the proposed technique can be applied to the cases where the error-feedback matrix is a general, di- agonal, or scalar matrix. A numerical example is pre- sented to illustrate the utility of the proposed technique.
Year
Venue
Keywords
2008
EUSIPCO
iir filters,closed loop systems,digital control,linear algebra,signal processing,state estimation,closed-form formulas,closed-loop system,error-feedback,linear-algebraic techniques,quasi-newton algorithm,roundoff noise minimization,scalar matrix,state-estimate feedback digital controllers
Field
DocType
ISSN
Diagonal,Matrix (mathematics),Control theory,Minification,Scaling,Optimization problem,Diagonal matrix,Digital control,Roundoff noise,Mathematics
Conference
2219-5491
Citations 
PageRank 
References 
2
0.54
4
Authors
4
Name
Order
Citations
PageRank
Takao Hinamoto115850.09
Keijiro Kawai220.54
Masayoshi Nakamoto36111.70
Wu-Sheng Lu432949.40