Title
Optimal Synthesis of State-Estimate Feedback Controllers With Minimum -Sensitivity
Abstract
This paper investigates the problem of synthesizing the optimal structure of a state-estimate feedback controller with minimum l 2-sensitivity and no overflow. First, the l 2-sensitivity of a closed-loop transfer function with respect to the coefficients of a state-estimate feedback controller is analyzed. Next, two iterative techniques for obtaining the coordinate transformation matrix which constructs the optimal structure of a state-estimate feedback controller are developed so as to minimize an l 2-sensitivity measure subject to l 2-scaling constraints. One technique is based on a Lagrange function, some matrix-theoretic techniques, and an efficient bisection method. Another technique converts the problem into an unconstrained optimization formulation by using linear-algebraic techniques, and optimizes it by applying an efficient quasi-Newton method with closed-form formula for gradient evaluation. A numerical example is also presented to illustrate the utility of the proposed techniques.
Year
DOI
Venue
2008
10.1109/TCSI.2008.920126
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
DocType
Volume
closed loop systems,controllers,bisection method,closed-loop transfer function,coordinate transformation matrix,state-estimate feedback controllers,$l_{2}$-scaling constraints,$l_{2}$-sensitivity minimization,Bisection method,Lagrange function,bisection method,closed-loop control systems,l2-scaling constraints,l2-sensitivity minimization,no overflow,quasi-Newton method,state-estimate feedback controllers
Journal
55
Issue
ISSN
Citations 
8
1549-8328
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Hinamoto, T.1142.33
Kawagoe, T.200.34