On Robust Parameter Estimation in Finite-Time Without Persistence of Excitation

Robust adaptive finite-time parameter estimation and control for robotic systems

This is the peer reviewed version of the following article: Na, J., Mahyuddin, M. N., Herrmann, G., Ren, X., and Barber, P. (2015) Robust adaptive finite-time parameter estimation and control for robotic systems. Int. J. Robust. Nonlinear Control, 25: 3045–3071, which has been published in final form at doi: 10.1002/rnc.3247. This article may be used for non-commercial purposes in accordance wi...

Robust Parameter Estimation in ComputerVisionCharles

A New Recursive Finite-Time Convergent Parameter Estimation Algorithm

A recursive algorithm for parameter estimation converging in finite time is introduced. It includes as special case the classical Linear Recursive Square algorithm, and is a generalization of the Super-Twisting Algorithm (STA), a second order sliding mode algorithm, to time-varying systems.

Parameter estimation without confidence intervals?

Fukuhara and Hori’s article [1] reported the possibility of calculating the incidence of spontaneous intracerebral hemorrhage (sICH) using publicly accessible data in Japan. If the method were valid and satisfied statistical assumptions, overcoming the limitation of the source of the data, known as Diagnosis Procedure Combination (DPC) data, this suggestion could be an innovative method. Becaus...

Parameter estimation without confidence intervals?

We greatly appreciate the comments contributed by one of the peer reviewers. Apparently, his comments have clearly sorted out the limitations our article involves. We recognize all the limitations and still, we believe the Diagnosis Procedure Combination (DPC) system in Japan is worth being aware of as a novel medical database in Asia. As for the first point, the DPC database only involves 65.1...