In this payer, we address the analysis and state-feedback synthesis problem
s for linear parameter-varying (LPV) systems with parameter-varying time de
lays. It is assumed that the state-space data and the lime delays are depen
dent on parameters that are measurable in real-time and vary in a compact s
et with bounded variation rates. We explore the stability and the induced L
-2 norm performance of these systems using parameter-dependent Lyapunov fun
ctionals. In addition, the design of parameter-dependent state-feedback con
trollers that guarantee desired L-2 gain performance is examined. Both anal
ysis and synthesis conditions are formulated in terms of linear matrix ineq
ualities (LMIs) that can be solved via efficient interior-point algorithms.
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