Results 11 to 20 of about 178,500 (285)
Distributed Moving Horizon Fusion Estimation for Nonlinear Constrained Uncertain Systems
Mathematics, 2023 This paper studies the state estimation of a class of distributed nonlinear systems. A new robust distributed moving horizon fusion estimation (DMHFE) method is proposed to deal with the norm-bounded uncertainties and guarantee the estimation performance.
Shoudong Wang, Binqiang Xue
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Noise Adaptive Moving Horizon Estimation for State-of-Charge Estimation of Li-Ion Battery
IEEE Access, 2021 In this paper, a novel noise adaptive moving horizon estimation (NAMHE) method is proposed to improve the accuracy of state of charge(SOC) estimation of Li-ion batteries under the unknown noise conditions.
Ziqi Zhang, Binqiang Xue, Jianming Fan
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Multiple window moving horizon estimation [PDF]
Automatica, 2015 Long horizon lengths in Moving Horizon Estimation are desirable to reach the performance limits of the full information estimator. However, the conventional MHE technique suffers from a number of deficiencies in this respect. First, the problem complexity scales at least linearly with the horizon length selected, which restrains from selecting long ...
Al-Matouq, Ali A., Vincent, Tyrone L.
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IEEE Access, 2020 This article proposed a moving horizon approach to predict sulfur concentrate grade in a sulfur flotation process. In this approach, the grade prediction problem is formulated as a moving horizon estimation problem.
Mingfang He +3 more
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Aerospace, 2022 Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper.
Yudong Hu, Changsheng Gao, Wuxing Jing
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State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment
Applied Sciences, 2020 One challenging aspect of therapy optimization and application of control algorithms in the field of tumor growth modeling is the limited number of measurable physiological signals—state variables—and the knowledge of model parameters.
Máté Siket +4 more
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IEEE Access, 2021 In this study, we present methods of optimization-based power system state estimation over sensor networks. By minimizing a composite loss function while ensuring that the state, disturbance, and measurement noise constraints are satisfied, the best or ...
Jinsung Kim +4 more
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MULTIRATE STATE ESTIMATION USING MOVING HORIZON ESTIMATION [PDF]
IFAC Proceedings Volumes, 2005 Abstract In most chemical processes only some measurements are available online while other measurements are available infrequently and often with long delays. Multirate state estimation can optimally combine these different classes of measurements to improve the estimation quality compared to the fast measurements alone.
Stefan Krämer, Ralf Gesthuisen
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Distributed Moving Horizon Estimation for Linear Constrained Systems [PDF]
IEEE Transactions on Automatic Control, 2010 AbstractIn this paper we consider a nonlinear constrained system observed by a sensor network and propose a distributed state estimation scheme based on moving horizon estimation (MHE). In order to embrace the case where the whole system state cannot be reconstructed from data available to individual sensors, we resort to the notion of MHE ...
FARINA, MARCELLO +2 more
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Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm
Journal of Control Science and Engineering, 2021 Although moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic.
Steve Alan Talla Ouambo +3 more
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