An overview of simultaneous strategies for dynamic optimization
LT Biegler - Chemical Engineering and Processing: Process …, 2007 - Elsevier
Simultaneous approaches for dynamic optimization problems are surveyed and a number of
emerging topics are explored. Also known as direct transcription, this approach has a …
emerging topics are explored. Also known as direct transcription, this approach has a …
Simultaneous dynamic optimization strategies: Recent advances and challenges
Simultaneous dynamic optimization strategies, also known as direct transcription methods,
have been applied in a wide number of domains. These include off-line applications like …
have been applied in a wide number of domains. These include off-line applications like …
[BUCH][B] Nonlinear programming: concepts, algorithms, and applications to chemical processes
LT Biegler - 2010 - SIAM
Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …
problems for over 50 years. For many chemical process systems, detailed steady state and …
Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization
Integration of real-time optimization and control with higher level decision-making
(scheduling and planning) is an essential goal for profitable operation in a highly …
(scheduling and planning) is an essential goal for profitable operation in a highly …
Feedback control for optimal process operation
S Engell - Journal of process control, 2007 - Elsevier
In chemical process operation, the purpose of control is to achieve optimal process
operation despite the presence of significant uncertainty about the plant behavior and …
operation despite the presence of significant uncertainty about the plant behavior and …
A real-time algorithm for moving horizon state and parameter estimation
A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …
parameters is revisited. Two different noise models are considered, one with measurement …
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry
In chemical processes, root cause diagnosis of process faults is highly crucial for efficient
troubleshooting, since if poorly managed, process faults can lead to high-consequence rare …
troubleshooting, since if poorly managed, process faults can lead to high-consequence rare …
Part II. Future perspective on optimization
Following from part I, which presents a retrospective on optimization, we focus here on areas
that are recent active research topics and are likely to strongly influence the future of …
that are recent active research topics and are likely to strongly influence the future of …
Optimal operation: Scheduling, advanced control and their integration
This paper discusses the integration of scheduling and advanced control. It gives a brief
overview on the challenges for today's production systems, analyzes the functional hierarchy …
overview on the challenges for today's production systems, analyzes the functional hierarchy …
Integrating independent component analysis and local outlier factor for plant-wide process monitoring
J Lee, B Kang, SH Kang - Journal of Process Control, 2011 - Elsevier
We propose a novel process monitoring method integrating independent component
analysis (ICA) and local outlier factor (LOF). LOF is a recently developed outlier detection …
analysis (ICA) and local outlier factor (LOF). LOF is a recently developed outlier detection …