In this article, a procedure for characterizing the feasible parameter set of nonlinear models with a membershipset uncertainty description is provided. A specific Genetic Algorithm denominated ε-GA has been developed, based on Evolutionary Algorithm for Multiobjective Optimization, to find the global minima of the multimodal functions appeared when the robust identification problem is formulat...

This document provides a brief proposal for “Robust Optimization & Robust Control Synthesis” reading group.

the robustness property can be added to dsc system at the expense of reducing performance, i.e., increasing the sum-rate. the aim of designing robust dsc schemes is to trade off between system robustness and compression efficiency. in this paper, after deriving an inner bound on the rate–distortion region for the quadratic gaussian mdc based rdsc system with two encoders, the structure of the r...

An approach is proposed for the robust identification and control of batch and semibatch processes. The batch experiments used for model identification are designed by minimizing the magnitude of the parameter uncertainties, and the effect of these uncertainties on the product quality achievable by optimal control is used as a stopping criterion for the identification procedure. The optimal con...

Along with the spoken message, speech contains information about the identity of the speaker. Thus, the goal of speaker identi cation is to develop features which are unique to each speaker. This paper explores a new feature for speech and shows how it can be used for robust speaker identi cation. The results will be compared to the cepstrum feature due to its widespread use and success in spea...

Nowadays most audio content identification systems are based on watermarking technology. In this paper we present a different technology, referred to as robust audio hashing. By extracting robust features and translating them into a bit string, we get an object called a robust hash. Content can then be identified by comparing hash values of a received audio clip with the hash values of previous...

The w orkpresents some simulation results concerning the application of robust model{based fault diagnosis to an industrial process by using iden ti cation and disturbance de{coupling techniques. The rst step of the considered approach iden ti es sev eral equation error models b y means of the input{output data acquired from the monitored system. Each model describes the di erent w orkingcondit...

••• •• y.c. ZHU , A.C.P.M. BACKX· and P. EYKHOFF IPooS Group, Datex Industry Tinnegieterstraat 12, NL-5232 BM 's-Hertogenbosch The Netherlands tel. 31-73-412225, fax: 31-73-426055 Dept. EE, Eindhoven University of Technology P.O. Box 513, NL-5600 MB Eindhoven The Netherlands Tel. 31-40-473300

In previous work, we presented a new approach to music identification based on finite-state transducers and Gaussian mixture models. Here, we expand this work and study the performance of our system in the presence of noise and distortions. We also evaluate a song detection method based on a universal background model in combination with a support vector machine classifier and provide some insi...

A new robust identification framework that incorporates both time and frequency domain data is proposed. ¹his framework avoids situations where a good data fit in one domain leads to poor fitting in the other. Abstract—In this paper we propose a new robust identification framework that combines both frequency and time-domain experimental data. The main result of the paper shows that the problem...