This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input multipleoutput discrete linear systems with actuator faults. The stability theory for linear repetit...
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This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input multipleoutput discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop formulas for gain matrices design, together with convergent conditions in terms of linear matrix inequalities. An extension to deal with model uncertainty of the polytopic or norm bounded form is also developed and an illustrative example is given.
An approach to control design for nonlinear system working under repetitive regime is presented. The general iterative learning control scheme is enhanced with a neural network controller to reduce the uncertainty of ...
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The problem of anonymization of car GPS traces is addressed. Unlike the existing approaches, we propose to preserve anonymity of the whole road graph, while performing accurate GPS location projection onto that graph ...
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The paper deals with an actuator fault tolerant control (FTC) under constraints for wind turbines. The main issue is to keep a desired value of turbine efficiency coefficient and minimization of tip-speed-ratio. The p...
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Tests for measuring the real time operating system performance belong to the software technology. They give quantitative measures for the most important characteristics and allow the implementer to compare the efficie...
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With rapid growth of mobile-based computing, reliable security and user authentication methods are necessary. This article proposes a proof-of-concept biometric authentication method utilizing hand images collected in...
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The problem of aggregating multiple numerical criteria to form overall objective functions is of considerable importance in many disciplines. The ordered weighted averaging (OWA) aggregation, introduced by Yager, uses...
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Telecommunications networks are facing an increasing demand for Internet services. Therefore, a problem of network dimensioning with elastic traffic arises, which requires the allocation of bandwidth to maximize servi...
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The approach called the Lexicographic Min-Max (LMM) optimization depends on searching for solutions minimal according to the lex-max order on a multidimensional outcome space. LMM is a refinement of the standard Min-M...
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The problem of averaging outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuzzy operator defined as the so-called Weighted O...
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