水汽
发表于 2025-3-23 12:45:27
Optimal Sensor Selection for Estimation of Distributed Parameter Systems formulation, in terms of optimum experimental design, is adopted, in which the optimality criterion is a convex function defined on the Fisher information matrix associated with estimated parameters. The locations of a given number of sensors are selected from among a fixed, but possibly very large
教义
发表于 2025-3-23 15:38:29
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Mendacious
发表于 2025-3-23 21:45:03
Dynamic Programming with Imprecise and Uncertain Informationely applied controls (inputs) are specified in an imprecise form as fuzzy sets defined in the space of states and controls, respectively. In such a setting, first, the classic problem of the multistage control of a deterministic system, given as a state transition equation, is considered followed by
lavish
发表于 2025-3-24 01:18:06
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漫不经心
发表于 2025-3-24 04:24:54
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芦笋
发表于 2025-3-24 09:46:41
Automatic Control, Robotics, and Information Processing978-3-030-48587-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
gentle
发表于 2025-3-24 13:26:32
https://doi.org/10.1007/978-3-322-89416-8actice. The subject of this chapter constitutes a procedure enabling effective calculation of optimal, in the sense of minimal expectation of losses, estimator of a parameter in the case when losses resulting from negative and positive errors have significantly different influence on system operatio
ILEUM
发表于 2025-3-24 15:20:00
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Euthyroid
发表于 2025-3-24 20:41:08
SpringerBriefs in International Relationsh, the plant and the observer are described by state space models with linear, unbounded system operators, generating strongly continuous semigroups. The plant has two inputs and two outputs. One input is for control, available to the observer, and the other for disturbance. In turn, one output is f
退潮
发表于 2025-3-25 01:36:49
Energy and the International Systemaussian disturbances. This work gives an overview of methods useful for the analysis and reduction of the noise that can be met when using modern sensors. In order to obtain reliable estimates of the measured values, the noise reduction method should be chosen according to the type of process being