The central focus of this thesis is the design of distributed systems with uncertain parameters using first principles based distributed models. Many systems of significance in chemical and bioengineering are spatially distributed. Current methods to design these systems often deploy models that neglect their spatial distribution. We will show with the analysis of systems like a fixed bed catalytic pellet reactor, drug distribution in the human brain and Plutonium storage that the simplifications of physical phenomena in chemical and biological systems are often not justifiable.The optimal drug-mixing problem for this network is formulated in Eq. (168)- (171) . ... the undesired outcomes or the side-effects Xb (z = 1, . .., /?, ) are expected to not exceed specified maxima Xb (/ = \, ..., p] ). ... We choose to represent these statements through the penalty approach (Himmelblau, 2001) in the objective functionanbsp;...
|Title||:||Mathematical Modeling, Problem Inversion and Design of Distributed Chemical and Biological Systems|
|Publisher||:||ProQuest - 2008|