Issues related to gain scheduling stability were analyzed using differential inclusion and fuzzy systems. The design procedure uses methods to solve linear matrix inequalities to guarantee stability of the closed-loop system within the desired state-space region. The procedure also provides designer with information regarding grid redefenition, when a candidate grid is too sparse in critical regions of the state-control space. The method was demonstrated by comparing equilibrium and off-equilibrium fuzzy controllers and a fuzzy scheduler against a standard crisp scheduler.
Gain-Scheduling Stability Issues using Differential Inclusion and Fuzzy Systems
INNOCENTI, MARIO;POLLINI, LORENZO;
2004-01-01
Abstract
Issues related to gain scheduling stability were analyzed using differential inclusion and fuzzy systems. The design procedure uses methods to solve linear matrix inequalities to guarantee stability of the closed-loop system within the desired state-space region. The procedure also provides designer with information regarding grid redefenition, when a candidate grid is too sparse in critical regions of the state-control space. The method was demonstrated by comparing equilibrium and off-equilibrium fuzzy controllers and a fuzzy scheduler against a standard crisp scheduler.File in questo prodotto:
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