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It allows to design a control system with incomplete and inexact input signal information.
Asymptotic observers that do not require knowledge of reaction kinetics are also proposed for a system with incomplete state measurement.
Shin et al. [27] found the optimal conditions for oxygen recovery and productivity using a two-bed PSA system with incomplete equalization step.
Zhang and Lam [11] considered the Markov jump linear system with incomplete transition descriptions and got the necessary and sufficient criteria in both continuous-time domain and discrete-time cases.
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This paper is concerned with the filter design for Markov jump systems with incomplete transition probabilities subject to sensor nonlinearities.
In this note, the probability-guaranteed set-membership filtering problem is investigated for a class of time-varying systems with incomplete measurements.
Moran's result has been reinvented in a recent paper from 2004 motivated by a long discussion on "intuitive" examples of marginal and asymptotic stability of systems with incomplete damping.
Mixture models are built with Principal Components Regression (PCR) and Partial Least Squares Regression (PLS) which are adequate for systems with incomplete or redundant information, because the informativity of the data with respect to the models is not guaranteed.
With the advent of state-of-the-art computers and their rapid availability, the time is ripe for the development of efficient uncertainty quantification (UQ) methods to reduce the complexity of numerical models used to simulate complicated systems with incomplete knowledge and data.
This approach is an accurate first step for modeling living systems with incomplete knowledges.
Neural networks are particularly useful to relate input and output variables to each other in complex systems with incomplete or even completely lacking knowledge of the systems structure and also in cases with incomplete measurements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com