Results 261 to 270 of about 579,911 (284)

Set membership identification using SLLE and NMC

2010 8th World Congress on Intelligent Control and Automation, 2010
A set membership identification method by pattern classification is proposed for nonlinear-in-parameter regression models with unknown but bounded (UBB) noises. Suppose that the points in the parameter space can be divided into two classes according to whether they are in the feasible solution set or not, the problem of set membership identification is
null Wei Chai, null Xianfang Sun, null JunFei Qiao   +2 more
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Model class optimality in set membership identification

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 2002
Model class optimality in set membership identification is investigated. Taking into account that the model selection has to be made using finite and noisy measurements, the n-width concept generalizes to the conditional radius of information concept. The aim of this paper is to show that model selection based on these two concepts may be drastically ...
GIARRÈ, Laura, M. MILANESE
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Block recursive bounding in set membership identification

Proceedings of 1995 34th IEEE Conference on Decision and Control, 2002
In this paper the problem of recursive approximation of the feasible parameter set through parallelotopic sets is studied. A recursive algorithm is proposed providing at each step the minimal volume approximation of the parameter set given by the intersection of the set estimate at time t and the feasible set determined by new measurements at ...
CHISCI, LUIGI, A. Garulli, A. Vicino, ZAPPA, GIOVANNI   +3 more
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Improvement on set membership identification by zonotopes

SPIE Proceedings, 2006
An improved set membership identification algorithm by zonotopes is proposed for time-varying parameterized discretetime systems. The system noises are assumed to be unknown but bounded (UBB). The improved algorithm based on a tighter description of the intersection of a zonotope and a strip can give a smaller zonotope containing the parameters ...
Wei Chai, Xianfang Sun
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Set Membership Identification: The H ∞ Case

2006
Robustness had become a central issue in system and control theory, focusing the researchers’ attention from the study of a single model to the investigation of a set of models, described by a set of perturbations of a “nominal” model. This set, often indicated as the uncertainty model set, has to be suitably constructed to describe the inherent ...
Mario Milanese, Michele Taragna
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A set-membership approach to blind identification

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004
This paper addresses the problem of blind identification in a set membership framework. Given a finite collection of noisy data and some a priori information about the sets of admissible plants and inputs, the objective is to (i) identify a suitable (model, input) pair that can explain the available experimental information, and (ii) provide a worst ...
M.C. Mazzaro, M. Sznaier
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Community membership identification from small seed sets

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014
In many applications we have a social network of people and would like to identify the members of an interesting but unlabeled group or community. We start with a small number of exemplar group members -- they may be followers of a political ideology or fans of a music genre -- and need to use those examples to discover the additional members.
Isabel M. Kloumann, Jon M. Kleinberg
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H-infinity Set Membership Identification: a survey

2004
Robustness had become in past years a central issue in system and control theory, focusing the attention of researchers from the study of a single model to the investigation of a set of models, described by a set of perturbations of a "nominal" model.
MILANESE M., TARAGNA, MICHELE
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Set membership identification in digital signal processing

IEEE ASSP Magazine, 1989
Set membership (SM) identification refers to a class of techniques for estimating parameters of linear systems or signal models under a priori information that constrains the solutions to certain sets. When data do not help refine these membership sets, the effort of updating the parameter estimates at those points can be avoided.
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On optimal input design in conditional set membership identification

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
This paper deals with optimal input design in conditional set membership identification. The problem is how to choose the input signal in order to minimize the global worst-case identification error. A characterization of the l/sub /spl infin// identification error is provided, showing that the optimal input is the one that minimizes the l/sub /spl ...
Casini, Marco, Garulli, Andrea, Vicino, Antonio   +2 more
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