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Titlebook: Automatic Control, Robotics, and Information Processing; Piotr Kulczycki,Józef Korbicz,Janusz Kacprzyk Book 2021 The Editor(s) (if applica

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楼主: INFER
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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
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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
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Automatic Control, Robotics, and Information Processing978-3-030-48587-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
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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
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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
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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
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