B.E. Ydstie

TL;DR: A continuous-time version of the Extended Horizon Adaptive Controller (EHAC) is developed using the Delta Operator formulation and uses the Internal Model Principle to reduce off-set.

TL;DR: In this paper, an adaptive regulator with variable weighting of past data is developed, where a forgetting factor is at each step chosen such that a scalar measure of the information content is kept constant.

TL;DR: In this article, the least square estimator with fixed and variable forgetting factors is investigated for linear systems with fixed parameters and stochastic disturbances, and some preliminary results are also presented for time varying systems.

TL;DR: The theory for iterated mappings on the interval is used to study transients and stability properties of a simple adaptive system and the existence of chaotic attractors is proven.

TL;DR: An on-line adaptive optimization technique is proposed and applied to a continuous biological reactor and involves simple steady-state models which contain the basic static nonlinearities of the process and a nonlinear least squares estimator which is used to periodically calculate the steady- state geometric characteristics of theprocess.