DocumentCode :
3860539
Title :
Inverse optimal design of input-to-state stabilizing nonlinear controllers
Author :
M. Krstic; Zhong-Hua Li
Author_Institution :
Dept. of Mech. Eng., Maryland Univ., MD, USA
Volume :
43
Issue :
3
fYear :
1998
Firstpage :
336
Lastpage :
350
Abstract :
We show that input-to-state stabilizability (as defined by Sontag,1989, 1995) is both necessary and sufficient for the solvability of a Hamilton-Jacobi-Isaacs equation associated with a meaningful differential game problem similar to, but more general than, the "nonlinear H/sub /spl infin//" problem. The significance of the result stems from the fact that constructive solutions to the input-to-state stabilization problem are available (presented in the paper) and that, as shown here, inverse optimal controllers possess margins on input-to-state stability against a certain class of input unmodeled dynamics. Rather than completion of squares, the main tools in our analysis are Legendre-Fenchel transformations and the general form of Young´s inequality.
Keywords :
"Optimal control","Stability","Nonlinear equations","Lyapunov method","Partial differential equations","Robust control","Differential equations","Backstepping","Control theory","Kalman filters"
Journal_Title :
IEEE Transactions on Automatic Control
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.661589
Filename :
661589
Link To Document :
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