A Combined Global and Local Identification Approach for LPV Systems*. Issue 28 (2015)

• Record Type: Journal Article
• Authors: Turk, Dora; Pipeleers, Goele; Swevers, Jan
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 28(2015)
• Page Start: 184
• Page End: 189
• Publication Date: 2015
• Subjects: Nonlinear systems, -- state-space models -- identification algorithms -- optimization problems -- parameter estimation -- time-domain responses -- frequency responses -- subspace methods -- validation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.12.122
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper tackles the problem of identifying linear parameter-varying (LPV) systems by combining data originating from global and local identification experiments into a nonlinear leastsquares problem. One extreme of the approach results in a model optimal with respect to the system behavior under varying scheduling parameter conditions, while the other gives a model being a good approximation of system behavior for fixed scheduling parameter. When measurements from global and local experiments are available, a compromise between the two objectives is achieved. Numerical and experimental validations, accompanied by comparisons with existing LPV identification methods show the potential of the developed approach.