Proof of quasi-adaptivity for the m-measurement feedback class of stochastic control policies
- 1 May 1987
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 32 (5) , 447-451
- https://doi.org/10.1109/tac.1987.1104610
Abstract
It is shown that the m -measurement feedback (mM) policy for nonlinear stochastic control, performs as well or better than the open-loop optimal policy and hence becomes one of only a few suboptimal policies presently known to be quasi-adaptive in the sense of Witsenhausen.Keywords
This publication has 10 references indexed in Scilit:
- On the evaluation of expected performance cost for partially observed closed-loop stochastic systemsInternational Journal of Control, 1985
- Implicit dual control for general stochastic systemsOptimal Control Applications and Methods, 1985
- A multiple model adaptive dual control algorithm for stochastic systems with unknown parametersIEEE Transactions on Automatic Control, 1980
- Comparison of adaptive controllersAutomatica, 1980
- Concepts and Methods in Stochastic ControlControl and Dynamic Systems, 1976
- Stochastic adaptive control methods: a surveyInternational Journal of Control, 1975
- On self tuning regulatorsAutomatica, 1973
- Estimation and Control with Quantized MeasurementsPublished by MIT Press ,1970
- A new algorithm for suboptimal stochastic controlIEEE Transactions on Automatic Control, 1969
- A comparison of closed-loop and open-loop optimum systemsIEEE Transactions on Automatic Control, 1966