Modifier Adaptation for Constrained Closed-Loop Systems

Modifier Adaptation for Constrained Closed-Loop Systems

The steady advance of computational methods makes model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. An iterative optimization method called “modifier adaptation” overcomes this obstacle by incorporating process information into the optimization framework. This paper extends this technique to constrained ...

Closed-loop decoder adaptation algorithms for brain- machine interface systems

Closed-loop decoder adaptation algorithms for brain-machine interface systems

Closed-Loop Adaptation for Robust Tracking

Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade the tracking performance. The most direct but yet difficult solution to the drift problem is to obtain accurate boundaries of the target. We approach such a solution by proposing a novel closed-loop model adaptation f...

Bounded-error identification for closed-loop systems

This paper presents a scheme for the identification of a system which operates in closed-loop and in the presence of bounded output disturbances. Two algorithms are proposed to solve this identification problem. The first algorithm is an Optimal Bounding Ellipsoid (OBE) type algorithm. This first algorithm is analyzed and sufficient conditions for stability and convergence are established. Rela...

Design Guidelines for Deploying Closed Loop Systems