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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IET Control Theory & Applications, 2021 This paper conveys attitude and rate estimation without rate sensors by performing a critical comparison, validated by extensive simulations. The two dominant approaches to facilitate attitude estimation are based on stochastic and set‐membership ...
N. P. Koumpis +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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IEEE Access, 2019 This paper investigates the robust output feedback model predictive control (ROFMPC) for the discrete-time linear system with norm-bound uncertainty and disturbance.
Jiandong Yang, Yuanli Cai, Baocang Ding
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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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Entropy, 2017 In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation.
Zhan Jin, Yingsong Li, Yanyan Wang
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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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