a parallel hybrid system of hmm and gmm modeling techniques was implemented and used in a telephony speaker verification and identification system. spectral subtraction and weighted projection measure were used to render this system more robust against additional noise. cepstral mean subtraction method was also applied for the compensation of convolution noise due to transmission channel degrad...

The selection of uncertainty structures is an important aspect in system identification for robust control. The aim of this paper is to investigate the consequences for multivariable systems. Hereto, first a theoretical analysis is performed that establishes the connection between the associated model set and the robust control criterion. Second, an experimental case study for an automotive app...

Model validation is the scientific exercise that consists of assessing whether a model of some underlying system is (\it good enough.) Good enough for what? Well, that is precisely the point. The assessment of the quality of a model cannot be decoupled from the purpose for which the model is to be used. And just as the research on system identification has, in the last 10 years, focused on issu...

We present a new method of learning control policies that successfully operate under unknown dynamic models. We create such policies by leveraging a large number of training examples that are generated using a physical simulator. Our system is made of two components: a Universal Policy (UP) and a function for Online System Identification (OSI). We describe our control policy as universal becaus...

This article proposes offline language-free writer identification based on speeded-up robust features (SURF), goes through training, enrollment, and identification stages. In all stages, an isotropic Box filter is first used to segment the handwritten text image into word regions (WRs). Then, the SURF descriptors (SUDs) of word region and the corresponding scales and orientations (SOs) are extr...

This paper studies the high-performance robust motion control of machine tools. The newly proposed adaptive robust control (ARC) is applied to make the resulting closed-loop system robust to model uncertainties, instead of the disturbance observer (DOB) design previously tested by many researchers. Compared to DOB, the proposed ARC has a better tracking performance and transient in the presence...

This research developed new methods for high-performance control of laser beams in high energy laser weapons and laser communications. These methods achieve optical wavefront correction, laser beam pointing and target tracking with precision levels significantly beyond those achievable by existing methods for beam control, thereby increasing the bandwidths and target distances for which beam co...

Performance of trajectory tracking is important for Wheeled Mobile Robots (WMR), which have wide applications in industry, medical treatment, and domestic service, etc. In this paper, comprehensive modeling of a WMR is presented with model parameters estimated via system identification. The influence on experimental frequency response due to friction disturbances at low frequency and modeling u...

in this paper, we present the windsurfer approach for the design of adaptive robust control systems. In section 1 we review the weakness of traditional adaptive control systems. In section 2 we illustrate the idea of the windsurfer approach by considering an adaptive model matching problem. In section 3, we show how a closed-loop sysrem identification problem associated with the windsurfer appr...