Gain-scheduled filtering for time-varying discrete systems

Publication Type:
Journal Article
Citation:
IEEE Transactions on Signal Processing, 2004, 52 (9), pp. 2464 - 2476
Issue Date:
2004-09-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
2010003577OK.pdf344.24 kB
Adobe PDF
This paper deals with the design of gain-scheduled filters, whose state-space realization depends on real-time parameters of plants. Similar to well-recognized advantages of gain-scheduled controllers in control theory, gain-scheduled filters are expected to provide enhanced performance in comparison with customary nonadjustable filters. Our construction technique is based on nonlinear fractional transformation (NFT) representations of systems that are a generalization of widely used linear fractional transformation (LFT) representations. Both generalized H2 and H∞ discrete-time filter design problems are investigated together with their extension to mixed designs. This study leads to new linear matrix inequality (LMI) formulations, which in turn provide an effective and reliable design tool. The proposed design technique is finally evaluated in the light of simulation examples. © 2004 IEEE.
Please use this identifier to cite or link to this item: