LINEAR PARAMETER VARIATION MODEL ESTIMATION SYSTEM, METHOD, AND PROGRAM

Title:

LINEAR PARAMETER VARIATION MODEL ESTIMATION SYSTEM, METHOD, AND PROGRAM

Document Type and Number:

WIPO Patent Application WO/2016/194025

Kind Code:

A1

Abstract:

An initial value determination means 71 determines an initial value of a scheduling parameter of a target system. Further, a convergence determination means 75 determines whether or not the value of a predetermined evaluation function has converged. Until it is determined that the value of the predetermined evaluation function has converged, a state variable calculation means 72 calculates the value of a state variable, a regression coefficient calculation means 73 calculates the value of a regression coefficient, and a scheduling parameter prediction model derivation means derives a scheduling parameter prediction model and repeatedly calculates the value of a scheduling parameter. When the value of the predetermined evaluation function converges, a model estimation means 76 estimates a linear parameter variation model of the target system on the basis of the value of the state variable and the value of the scheduling parameter at that time.

Inventors:

ETO RIKI (JP)
FUJIMAKI RYOHEI (JP)

Application Number:

PCT/JP2015/004883

Publication Date:

December 08, 2016

Filing Date:

September 25, 2015

Export Citation:

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Assignee:

NEC CORP (JP)

International Classes:

G05B13/04; G05B13/02

Foreign References:

JP2009205641A	2009-09-10
JPH10220475A	1998-08-21
JP2013504133A	2013-02-04