Results 51 to 60 of about 263,212 (196)
Journal of Applied Mathematics, 2015 For the quasi-linear parameter varying (quasi-LPV) system with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC) is investigated.
Xubin Ping, Ning Sun
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On the robustness of set-membership adaptive filtering algorithms
EURASIP Journal on Advances in Signal Processing, 2017 In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algorithms. For the SM-NLMS algorithm, we demonstrate that it is robust
Hamed Yazdanpanah +2 more
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Network dependence in multi-indexed data on international trade flows [PDF]
, 2020 Faced with the problem that conventional multidimensional fixed effects models only focus on unobserved heterogeneity, but ignore any potential cross-sectional dependence due to network interactions, we introduce a model of trade flows between countries
Fischer, Manfred M., LeSage, James P.
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International Journal of Applied Mathematics and Computer Science, 2016 This paper presents a new formulation for set-membership parameter estimation of fractional systems. In such a context, the error between the measured data and the output model is supposed to be unknown but bounded with a priori known bounds. The bounded
Amairi Messaoud
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A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems [PDF]
, 2017 This paper proposes an approach for the joint state and fault estimation for a class of uncertain nonlinear systems with simultaneous unknown input and actuator faults.
Buciakowski, Mariusz +5 more
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, 2014 In this paper we present a unified framework for solving a general class of problems arising in the context of set-membership estimation/identification theory.
Cerone, Vito +3 more
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Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System. [PDF]
PLoS ONE, 2016 Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the system are
Jinjun Tang +5 more
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CardioLabelNet: An uncertainty estimation using fuzzy for abnormalities detection in ECG
Health Care Science, 2023 Electrocardiography (ECG) abnormalities are evaluated through several automatic detection methods. Primarily, real‐world ECG data are digital signals those are stored in the form of images in hospitals.
Jyoti Mishra, Mahendra Tiwari
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Ellipsoidal set-membership state estimation for descriptor systems [PDF]
2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), 2019 This paper presents an ellipsoidal set-membership state estimation technique for discrete-time linear time-invariant descriptor systems with bounded perturbations and noises. The approach proceeds off-line by minimizing a parameter with respect to a linear matrix inequality (LMI).
Merhy, Dory +3 more
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A Discrete Model for Color Naming
EURASIP Journal on Advances in Signal Processing, 2007 The ability to associate labels to colors is very natural for human beings. Though, this apparently simple task hides very complex and still unsolved problems, spreading over many different disciplines ranging from neurophysiology to psychology and ...
J. M. Boi +3 more
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