Abstract
This chapter focuses on nonlinear model reduction and feedback control of particulate processes for which the effect of spatial variations can be safely neglected. Using population balances, such processes can be adequately described by a class of nonlinear partial integro-differential equation systems. The objective is to develop a general and rigorous method for the derivation of low-order approximations of the distributed parameter process model and the synthesis of practically implementable (i.e., low-order) nonlinear model-based feedback controllers that enforce the desired stability and performance specifications (such as PSDs with desired total mass and mean particle size) in the closed-loop system.
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