Brian D. O. Anderson

TL;DR: In this article, the authors examined the stability characteristics of a generalized error system structure for adaptive parameter estimation systems, and the consequences for error system stability which derive from the added generality are analyzed.

TL;DR: In this article, a physical interpretation of a solution to this problem due to Krein, which used the theory of inverse Sturm-Liouville problems, is presented, where the signal at one end is the process w(t), and the prediction is found by calculating as intermediate quantities the voltage and current stored on the line at t=0.

TL;DR: It is shown that for suitably chosen design parameters, the ADM with forgetting factor can track a constant signal arbitrarily closely under mild assumptions, and how much better the modified algorithm performs relative to the original ADM algorithm in a remote control setting is provided.

TL;DR: Moore as mentioned in this paper was an electrical engineer who spent most of his distinguished career at the University of Newcastle and the Australian National University following industrial experience and graduate education in Silicon Valley, California, achieving all honours at a comparatively early age, and was recognized principally for his contributions to the field of control systems.

TL;DR: This work deals with the problem of great distance localization on the surface of the earth when the planar assumption becomes invalid, but there remain the constraint that the points lie in a 2-dimensional manifold.