Nonlinearity indeterminacy time-lag system robustness control cloud network perceptual signal identification method

Abstract

The invention discloses a nonlinearity indeterminacy time-lag system robustness control cloud network perceptual signal identification method. The method comprises the steps of controlling perceptual signal conversion through defining cloud theory nonlinearity indeterminacy time-lag system robustness H8, determining a decomposed type cloud network controlled perceptual signal algorithm of cloud network controlled perceptual signal cloud theory nonlinearity indeterminacy time-lag system robustness H8 controlled perceptual signal conversion, and conducting perceptual signal time-frequency distribution predication on the basis of general signals of the cloud network controlled perceptual signal of the cloud theory nonlinearity indeterminacy time-lag system robustness H8 controlled perceptual signal conversion. The method effectively realizes collection of identified cloud network controlled perceptual signals and general signal sensing time-frequency distribution predication of cloud network controlled perceptual signals, well solves the problem that short time nonlinearity indeterminacy time-lag system robustness H8 controlled perceptual signal conversion in an existing method can not simultaneously give consideration to time resolution ratio and the cloud network controlled frequency perceptual signal resolution ratio.

Description

technical field [0001] The invention belongs to the technical field of cloud network-based control perception signal broadband network, and in particular relates to a method for identifying a cloud network perception signal of robust control of a nonlinear uncertain time-delay system. Background technique [0002] With cloud theory sensing nonlinear uncertain time-delay system robust H∞ control sensing signal transformation model application cloud network control sensing signal broadband network is a strategic public infrastructure for my country's economic and social development in the new era, the development of cloud theory sensing non- The application of the robust H∞ control perceptual signal transformation model for linear uncertain time-delay systems to the cloud-based controllable perceptual signal broadband network plays an important supporting role in stimulating effective investment, promoting information consumption, promoting the transformation of development mode...

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Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a method for identifying the sensing signal of the robust control cloud network of the nonlinear uncertain time-delay system, aiming at solving the problem of the robust H∞ control sensing signal of the short-term nonlinear uncertain time-delay system in the existing method The problem that the transformation cannot take into account the time resolution and the frequency sensing signal resolution of the cloud network control

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