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Parametric process synthesis for general nonlinear models
Ipsita Banerjee
, Marianthi G. Ierapetritou
School of Engineering, Chemical & Biochemical Engineering
Research output
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Contribution to journal
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Article
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peer-review
43
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Keyphrases
Nonlinear Model
100%
Process Synthesis
100%
Design Configuration
100%
Parametric Processes
100%
Optimal Objective Function
100%
Mathematical Model
50%
Under Uncertainty
50%
Systematic Method
50%
Synthesis Problem
50%
Mixed Integer Nonlinear Programming
50%
Process Requirements
50%
Input-output Relation
50%
Uncertainty Propagation
50%
Parametric Uncertainty
50%
Parameter Uncertainty
50%
Propagation Model
50%
High Dimensional Model Representation
50%
Parametric Analysis
50%
Representation Technique
50%
Parametric Expression
50%
Computer Science
Process Synthesis
100%
Nonlinear Model
100%
Decision-Making
50%
Input/Output
50%
Propagation Model
50%
Dimensional Model
50%
Parameter Uncertainty
50%
Synthesis Problem
50%
Uncertainty Propagation
50%
Parametric Analysis
50%
Output Relationship
50%
Process Requirement
50%
Engineering
Optimal Design
100%
Nonlinear Model
100%
Parameter Uncertainty
50%
Propagation Model
50%
Dimensional Model
50%
Parametric Analysis
50%
Process Requirement
50%
Parametric Uncertainty
50%
Main Advantage
50%
Mathematical Model
50%
Chemical Engineering
Process Synthesis
100%