Abstract
A variational approach is taken to derive optimality conditions for a discrete-time linear quadratic adaptive stochastic optimal control problem. These conditions lead to an algorithm for computing optimal control laws which differs from the dynamic programming algorithm.
Original language | English |
---|---|
Pages (from-to) | 1165-1170 |
Number of pages | 6 |
Journal | IEEE Transactions on Automatic Control |
Volume | 31 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1986 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering