Probability Theory and Mathematical Statistics for Engineers
Probability Theory and Mathematical Statistics for Engineers
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DOI:
10.2307/3616473
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发表时间:
1984-05
期刊:
影响因子:
--
通讯作者:
Jeffrey Dodgson
中科院分区:
文献类型:
--
作者:
Jeffrey Dodgson
It must be taken Ior granted that the chemical engineering departments take up thesc challenges and that the future student in undergraduate process control masters the nlost elementary concepts of linear algebua, ordinary algebraic and differential equations including LaPlace and Fourier transforins. Furthermore, it must be taken for granted thal the future student masters the chemical engineering production process technology from courses prior to process control. When this symbiosis of systems and chemical engineering is achieved the present book may be reduced to one-third and process control becomes what it should be an integrated part of the process technology with emphasis on thc real challeuges of process control to the chemical engineers, namely the last one-third of the book. This covers the concepts of muhivariablc control, material and energy balance, ratio and feedforward control, model algorithmic control, and inferential control together with parameter estimation, analysis and filtering of time-series. AR MA-models and general computer control. As it now stands, the book is a step towards this symbiosis but hardly the final text. It should certainly be read and discussed as another contribution to a proper understanding of the complex nature of chemical plants and their equally complicated control structure. It should also be regarded as a step in the righl direction, a ~mified treatment of process control on the premises of process technology.