SpringerBriefs in Mathematics

Levanony, David; Caines, Peter E.

This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive estimation algorithm is engineered to drive the maximum likelihood estimate into the set of parameters representing the true closed-loop dynamics. By incorporating a performance monitoring feature, this approach ensures that the estimate converges to the true system parameters. Concurrently, it delivers optimal long-term LQ closed-loop performance. This groundbreaking work offers a significant advancement in the field of stochastic control systems.

Details

Published by: Springer

Publication Date: 2024-11-09

Format: Paperback

ISBN-13: 9783031737572

DOI: 10.1007/978-3-031-73758-9

Dimensions: 235cm x155cm

Pages: 77