Abstract
The entropy has been used to characterize the uncertainty of the tracking error for general nonlinear and non-Gaussian stochastic systems. A recursive optimization solution has been developed and the local stability condition of the closed-loop system has been established. The generality of this algorithm has been proved by the special case study of the minimum variance control for linear Gaussian systems.
Original language | English |
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Pages (from-to) | 118-122 |
Number of pages | 4 |
Journal | IEEE Transactions on Automatic Control |
Volume | 48 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2003 |
Keywords
- Entropy
- Non-Gaussian
- Nonlinear
- Optimization
- Stochastic