Title :
Reduced-complexity nonlinear H∞ control of discrete-time systems
Author :
Helton, J.W. ; James, M.R. ; McEneaney, W.M.
Author_Institution :
Dept. of Math., Univ. of California, La Jolla, CA, USA
Abstract :
In this note, we describe a reduced-complexity solution to the nonlinear H∞ control problem. This reduction applies to systems where some of the states are perfectly known, and is an intermediate problem between full state feedback and the standard measurement feedback problem. The reduction of computational complexity is significant and of practical importance. Online implementation is feasible with 2003 computer technology for a range of practical engineering design problems.
Keywords :
H∞ control; computational complexity; discrete time systems; nonlinear control systems; state feedback; computational complexity; discrete time system; engineering design; reduced complexity nonlinear H∞ control; standard measurement feedback problem; state feedback; Adaptive control; Automatic control; Control systems; Noise measurement; Nonlinear control systems; Stability; State feedback; State-space methods; Time measurement; Writing; Infinite-dimensional dynamical systems; information states; nonlinear; nonlinear estimation; reduced-complexity observers; reduction of computational complexity;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2005.858645
