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Variance-Constrained Multiobjective Control and Filtering for Nonlinear Stochastic Systems: A Survey [PDF]
Abstract and Applied Analysis, 2013 The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances.
Lifeng Ma +3 more
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Mathematics, 2023 This paper studies the problem of the event-triggered control of nonaffine stochastic nonlinear systems with actuator hysteresis. The echo state network (ESN) is introduced to approximate an unknown nonlinear function. The command filtering technology is
Shuxian Lun +4 more
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The effect of population size for pathogen transmission on prediction of COVID-19 spread
Scientific Reports, 2021 Extreme public health interventions play a critical role in mitigating the local and global prevalence and pandemic potential. Here, we use population size for pathogen transmission to measure the intensity of public health interventions, which is a key ...
Xuqi Zhang +5 more
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Mathematics, 2021 Observational errors of Particle Filtering are studied over the case of a state-space model with a linear observation equation. In this study, the observational errors are estimated prior to the upcoming observations.
Rodi Lykou, George Tsaklidis
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Optimal noise filtering in the chemotactic response of Escherichia coli. [PDF]
PLoS Computational Biology, 2006 Information-carrying signals in the real world are often obscured by noise. A challenge for any system is to filter the signal from the corrupting noise.
Burton W Andrews +2 more
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Mean-Variance Hedging and Forward-Backward Stochastic Differential Filtering Equations
Abstract and Applied Analysis, 2011 This paper is concerned with a mean-variance hedging problem with partial information, where the initial endowment of an agent may be a decision and the contingent claim is a random variable.
Guangchen Wang, Zhen Wu
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Adaptive Neural Network Control of ROVs under Ocean Current Disturbance
水下无人系统学报In view of the motion control problem of remotely operated vehicles(ROVs) under uncertain model parameters and ocean current disturbance, an adaptive back-stepping control system was designed based on the limited time command filtering and radial basis ...
Xiangheng LI +3 more
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Fractal and FractionalBased on an adaptive neural control scheme, this paper investigates the consensus problem of random Markov jump multi-agent systems with full state constraints.
Yuhang Yao +4 more
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Publicaciones en Ciencias y Tecnología, 2015 In this work we dealt with matrix completion problem. This problem arises in different fields, for example, systems and control theory, image processing and collaborative filtering. Given a probabilistic matrix factorization model, we present an approach
Anaís Frangeline Acuña Sosa +1 more
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Statistical learning of stochastic complex systems via the Yau-Yau nonlinear filter. [PDF]
Innovation (Camb)Xu S +7 more
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