Author
Ramachandran Lakshmanan
Bio: Ramachandran Lakshmanan is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 70 citations.
Papers
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Dissertation•
01 Jan 1990
TL;DR: Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1990 as mentioned in this paper, Boston, Massachusetts, United States of America, Boston, MA
Abstract: Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1990.
70 citations
Cited by
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TL;DR: The purpose of this review is to sketch the directions that research and industrial applications of “intelligent systems” have taken in several areas of process engineering, and identify the emerging trends in each area, as well as the common threads that cut across several domains of inquiry.
195 citations
TL;DR: The language can be viewed as a very high-level special-purpose language, that moves the user several levels away from the inherent programming language (e.g. LISP, as in this case, Pascal or C).
147 citations
Proceedings Article•
11 Jul 1993TL;DR: In this article, a method to exploit quantitative knowledge more fully by deriving and numerically simulating an extremal system whose solution is guaranteed to bound all solutions of the SQDE is presented.
Abstract: Semiquantitative models combine both qualitative and quantitative knowledge within a single semiquantitative qualitative differential equation (SQDE) representation. With current simulation methods, the quantitative knowledge is not exploited as fully as possible. This paper describes dynamic envelopes - a method to exploit quantitative knowledge more fully by deriving and numerically simulating an extremal system whose solution is guaranteed to bound all solutions of the SQDE. It is shown that such systems can be determined automatically given the SQDE and an initial condition. As model precision increases, the dynamic envelope bounds become more precise than those derived by other semiquantitative inference methods. We demonstrate the utility of our method by showing how it improves the dynamic monitoring and diagnosis of a vacuum pump down system.
88 citations
TL;DR: This paper shows how the formal framework of MODEL.LA.LA is being used to construct multifaceted models of processing systems, which can access multiple views of a model; generate contextual models; establish consistency among multiple, concurrent models developed at different levels of abstraction.
64 citations
TL;DR: The implementation of a conceptual framework for modelling a biopharmaceutical manufacturing plant into a prototype decision-support tool, S im B iopharma, which covers the ability to evaluate manufacturing alternatives in terms of cost, time, yield, resource utilisation and risk.
64 citations