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Design multiscale model-based

Multiscale process identification and control. Most of the insightful analytical results in systems identification and control have been derived in the frequency domain. The design and implementation, though, of identification and control algorithms occurs in the time domain, where little of the analytical results in truly operational. The time-frequency decomposition of process models would seem to offer a natural bridge, which would allow the use of analytical results in the time-domain deployment of multiscale, model-based estimation and control. [Pg.267]


See other pages where Design multiscale model-based is mentioned: [Pg.4]    [Pg.53]    [Pg.66]    [Pg.301]    [Pg.120]    [Pg.87]    [Pg.88]    [Pg.88]    [Pg.89]    [Pg.109]    [Pg.110]    [Pg.110]    [Pg.110]    [Pg.110]    [Pg.116]    [Pg.122]    [Pg.315]    [Pg.315]    [Pg.315]    [Pg.317]    [Pg.319]    [Pg.321]    [Pg.1719]    [Pg.594]    [Pg.126]    [Pg.43]    [Pg.184]    [Pg.129]    [Pg.221]    [Pg.128]    [Pg.198]    [Pg.243]    [Pg.607]    [Pg.162]    [Pg.197]    [Pg.27]    [Pg.312]    [Pg.70]    [Pg.130]    [Pg.433]    [Pg.4]    [Pg.131]    [Pg.423]    [Pg.17]    [Pg.17]    [Pg.423]    [Pg.295]    [Pg.732]   
See also in sourсe #XX -- [ Pg.315 , Pg.316 , Pg.317 , Pg.318 , Pg.319 , Pg.320 , Pg.321 ]




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Design Bases

Model designations

Models design

Multiscale modelling

Multiscale models

Multiscalers

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