Title :
Optimal rejection of persistent disturbances, robust stability, and mixed sensitivity minimization
Author :
Dahleh, Munther A. ; Pearson, J. Boyd, Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., MTT, Cambridge, MA, USA
fDate :
8/1/1988 12:00:00 AM
Abstract :
The problem of optimal disturbance rejection of bounded persistent disturbances is solved in the general nonsquare case. The minimum value of the objective function can be obtained by solving a semi-infinite linear programming problem, and an iterative procedure for obtaining approximate solutions is introduced. Application of the l1 -optimal problem to robustness is discussed. A mixed sensitivity problem is formulated and shown to guarantee good disturbance rejection in the presence of plant perturbations
Keywords :
linear programming; stability; bounded persistent disturbances; iterative procedure; l1-optimal problem; mixed sensitivity minimization; optimal disturbance rejection; robust stability; robustness; semi-infinite linear programming; Application software; Equations; Laboratories; Linear programming; NASA; Robust stability; Robustness; Space technology; Transfer functions;
Journal_Title :
Automatic Control, IEEE Transactions on
