Gain-scheduled H-2 non-minimal order filtering design for linear parameter-varying discrete-time systems

Author(s)

Frezzatto, Luciano ; de Oliveira, Mauricio C. ; Oliveira, Ricardo C. L. F. ; Peres, Pedro L. D.

• Document type: Journal article
• Source: IFAC PAPERSONLINE; v. 50, n. 1, p. 6-pg., 2017-01-01.

Abstract

This paper addresses the problem of gain-scheduled filter design with guaranteed H-2 performance for linear parameter-varying discrete-time systems with arbitrarily fast time-varying parameters. The filters to be designed have order greater than the order of the system being filtered. The design procedure is formulated in terms of Linear Matrix Inequalities. As is well known, gain-scheduled filters can provide superior performance for linear parameter-varying systems when compared with robust filters. The proposed non-minimal order, H-2 gain-scheduled filtering strategy can further improve the results by enlarging the structure of the filter. Examples illustrate the results, showing that larger order filters can have improved performance, providing lower guaranteed H-2 costs when compared with other approaches based on full order filtering from the literature. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. (AU)

• FAPESP's process: 13/05957-1 - Stability and control of dynamical systems: uncertainty, constraints and polynomial models
• Grantee: Luciano Antonio Frezzatto Santos
• Support Opportunities: Scholarships in Brazil - Doctorate