Abstract
Minimum entropy control theory provides a powerful means of trading off the advantages of optimal H2 and H∞ controllers. In this paper, a framework for the nonlinear minimum entropy control problem is suggested, based on the nonlinear spectral factorization problem. It is also shown that, for a large class of H∞ suboptimal controllers, the central controller minimizes the closed-loop entropy. The techniques used are similar to the time-domain notion of the entropy that was introduced by the authors for time-varying systems.
Original language | English (US) |
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Pages (from-to) | 859-874 |
Number of pages | 16 |
Journal | Journal of the Franklin Institute |
Volume | 337 |
Issue number | 7 |
DOIs | |
State | Published - Nov 2000 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
- Applied Mathematics