Transform goal-directed selection

GOAL-DIRECTED SELECTION of transforms operates quite differently—the first consideration becomes "does this transform achieve one of my goals ", i.e., if it were applied would it be a move in the desired direction Goals define the "desired... 

As the number of chemical transforms available to the program increases, the benefits of goal-directed selection of transforms become even more obvious. 

Oxidation of Methane. The direct selective transformation of methane to methanol and formaldehyde, two valuable industrial chemicals is a goal that is extremely... 

The direct goal of stereochemical strategies is the reduction of stereochemical complexity by the retrosynthetic elimination of the stereocenters in a target molecule. The greater the number and density of stereocenters in a TGT, the more influential such strategies will be. The selective removal of stereocenters depends on the availability of stereosimplifying transforms, the establishment of the required retrons (complete with defined stereocenter relationships), and the presence of a favorable spatial environment in the precursor generated by application of such a transform. The last factor, which is of crucial importance to stereoselectivity, mandates a bidirectional approach to stereosimplification which takes into account not only the TGT but also the retrosynthetic precursor, or reaction substrate. Thus both retrosynthetic and synthetic analyses are considered in the discussion which follows. 

This last class of methods provides a way of avoiding the repeated optimization of a process model by transforming it into a feedback control problem that directly manipulates the input variables. This is motivated by the fact that practitioners like to use feedback control of selected variables as a way to cormteract plant-model mismatch and plant disturbances, due to its simphcity and reliability compared to on-line optimization. The challenge is to find functions of the measured variables which, when held constant by adjusting the input variables, enforce optimal plant performance [19,21]. Said differently, the goal of the control structure is to achieve a similar steady-state performance as would be realized by an (fictitious) on-line optimizing controller. 

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