Information transfer in stochastic optimal control with randomized strategies and directed information criterion
Ημερομηνία
2016ISBN
978-1-5090-1837-6Εκδότης
Institute of Electrical and Electronics Engineers Inc.Source
2016 IEEE 55th Conference on Decision and Control, CDC 20162016 IEEE 55th Conference on Decision and Control, CDC 2016
Pages
2004-2009Google Scholar check
Metadata
Εμφάνιση πλήρους εγγραφήςΕπιτομή
We show that stochastic dynamical control systems are capable of information transfer from control processes to output processes, with operational meaning as defined by Shannon. Moreover, we show that optimal control strategies have a dual role, specifically, i) to transfer information from the control process to the output process, and ii) to stabilize the output process. We illustrate that information transfer is feasible by considering general Gaussian Linear Decision Models, and relate it to the well-known Linear-Quadratic-Gaussian (LQG) control theory. © 2016 IEEE.