David A. Castanon

TL;DR: In this article, the authors summarize some results obtained for the adaptive control of the F-8C aircraft using the so-called MMAC method, including the selection of the performance criteria for both the lateral and the longitudinal dynamics, the design of the Kalman filters for different flight conditions, the identification aspects of the design using hypothesis testing ideas, and the performance of the closed-loop adaptive system.

TL;DR: This paper delineates circumstances under which the rollout algorithms are guaranteed to perform better than the heuristics on which they are based, and shows computational results which suggest that the performance of the rollout policies is near-optimal, and is substantially better thanThe performance of their underlying heuristic.

TL;DR: In this article, the problem of combining and updating estimates that may have been generated in a distributed fashion or may represent estimates, generated at different times, of the same process sample path is considered.

TL;DR: In this paper, the optimal control of discrete-time linear systems that possess randomly jumping parameters described by finite-state Markov processes is studied, and necessary and sufficient conditions for the existence of optimal constant control laws which stabilize the controlled system as the time horizon becomes infinite, with finite optimal expected cost.

TL;DR: A class of iterative aggregation algorithms for solving infinite horizon dynamic programming problems is proposed, to interject aggregation iterations in the course of the usual successive approximation method, which allows acceleration of convergence in difficult problems involving multiple-ergodic classes.