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  Hankel norm approximation of linear systems with time-varying delay: continuous and discrete cases
 
 
Titel: Hankel norm approximation of linear systems with time-varying delay: continuous and discrete cases
Auteur: Gao, Huijun
Lam, James
Wang, Changhong
Wang, Qing
Verschenen in: International journal of control
Paginering: Jaargang 77 (2004) nr. 17 pagina's 1503-1520
Jaar: 2004-11-20
Inhoud: This paper investigates the problem of Hankel norm model reduction for linear systems with time-varying delay in the state. For a given stable system, our attention is focused on the construction of reduced-order model, which guarantees the corresponding error system to be asymptotically stable and has a specified Hankel norm error performance. Two different approaches are proposed to solve this problem. One casts the model reduction into a convex optimization problem by using a linearization procedure, and the other is based on the cone complementarity linearization idea, which casts the model reduction into a sequential minimization problem subject to linear matrix inequality constraints. Both continuous and discrete time cases are considered. A numerical example is provided to show the effectiveness of the proposed theory.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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