Dynamical systems coupled with monotone set-valued operators: Formalisms, applications, well-posedness, and stability
This survey article addresses the class of continuous-time systems where a system modeled
by ordinary differential equations is coupled with a static or time-varying set-valued operator …
by ordinary differential equations is coupled with a static or time-varying set-valued operator …
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 …
[KNIHA][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 …
Challenges in process optimization for new feedstocks and energy sources
Current and future challenges of optimization in the process industry are discussed. The gap
between academic research and industrial workflow is analyzed. Moreover, issues arising …
between academic research and industrial workflow is analyzed. Moreover, issues arising …
Surrogate‐based superstructure optimization framework
CA Henao, CT Maravelias - AIChE Journal, 2011 - Wiley Online Library
In principle, optimization‐based “superstructure” methods for process synthesis can be more
powerful than sequential‐conceptual methods as they account for all complex interactions …
powerful than sequential‐conceptual methods as they account for all complex interactions …
Review of mixed‐integer nonlinear and generalized disjunctive programming methods
This work presents a review of the main deterministic mixed‐integer nonlinear programming
(MINLP) solution methods for problems with convex and nonconvex functions. An overview …
(MINLP) solution methods for problems with convex and nonconvex functions. An overview …
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 …
[KNIHA][B] Fast numerical methods for mixed-integer nonlinear model-predictive control
C Kirches - 2011 - Springer
This work aims at the investigation and development of fast numerical methods for nonlinear
mixed–integer optimal control and model–predictive control problems. A new algorithm is …
mixed–integer optimal control and model–predictive control problems. A new algorithm is …
MPEC problem formulations and solution strategies with chemical engineering applications
With the development and widespread use of large-scale nonlinear programming (NLP)
tools for process optimization, there has been an associated application of NLP formulations …
tools for process optimization, there has been an associated application of NLP formulations …
Advanced step nonlinear model predictive control for air separation units
Cryogenic air separation units constitute an integral part of many industrial processes and
next generation power plants. These units are characterized by fluctuating operating …
next generation power plants. These units are characterized by fluctuating operating …