5.1 Introduction 5.2 Metabolic pathways and metabolic control mechanisms 5.3 The industrial production of citric acid 5.4 The production of other TCA cycle intermediates 5.5 The industrial production of itaconic acid
Interpretations With noise in the system, the model is of the form =AC+ Bu+ Buw, y= Ca +U And the estimator is of the form =Ai+ Bu+L(y-9,y=Ci e Analysis: in this case: C-I=[AT+ Bu+Buw-[Ac+ Bu+L(y-gI A(-)-L(CI-Ca)+B
Model Uncertain Prior analysis assumed a perfect model. What if the model is in correct= actual system dynamics GA(s)are in one of the sets Multiplicative model G,(s=GN(s(1+E(s)) Additive model Gp(S)=GN(S)+E(s) where
Decision Theory supervisory Control 16.422 TWo broad areas of decision theory Normative Prescriptive Descriptive Why how do we make decisions? How does technology support or detract from optimal decision making
When in 1920 I resumed my studies of theoretical physics which had long been interrupted by circumstances beyond my control, I was far from the idea that my studies would bring me several years later to receive such a higl and envied prize as that awarded by the Swedish Academy of Sciences each year to a scientist: the Nobel Prize for Physics. What at that time drew me towards theoretical physics was not the hope that such a high distinction
present discussion it is useful to distinguish among four crime different general approaches(three of which seek to reduce principally through the operations of the law enforcement criminal motivation), which are distinguished by their own and criminal justice systems. These \formal\ systems of set of objectives and techniques. These four approaches to rime pr enti control serve the dual purpose of deterring law-breaking crime prevention are:
Chapter 20-Learning Objectives Understand the philosophy of total quality management(TQM) Be able to distinguish between defect prevention and defect detection strategies for the management of qualit Be able to distinguish random variation from assignable variation Understand the fundamentals of statistical process control charts
