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Generative AI and process systems engineering: The next frontier
This review article explores how emerging generative artificial intelligence (GenAI) models,
such as large language models (LLMs), can enhance solution methodologies within process …
such as large language models (LLMs), can enhance solution methodologies within process …
Efficient methanol synthesis: Perspectives, technologies and optimization strategies
G Bozzano, F Manenti - Progress in Energy and Combustion Science, 2016 - Elsevier
In economy nowadays, methanol is already a key compound widely employed as building
block for producing intermediates or synthetic hydrocarbons, solvent, energy storage …
block for producing intermediates or synthetic hydrocarbons, solvent, energy storage …
CasADi: a software framework for nonlinear optimization and optimal control
We present CasADi, an open-source software framework for numerical optimization. CasADi
is a general-purpose tool that can be used to model and solve optimization problems with a …
is a general-purpose tool that can be used to model and solve optimization problems with a …
[Књига][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 …
Modeling and simulation of lithium-ion batteries from a systems engineering perspective
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …
Efficient numerical methods for nonlinear MPC and moving horizon estimation
This overview paper reviews numerical methods for solution of optimal control problems in
real-time, as they arise in nonlinear model predictive control (NMPC) as well as in moving …
real-time, as they arise in nonlinear model predictive control (NMPC) as well as in moving …
Time-optimal path tracking for robots: A convex optimization approach
D Verscheure, B Demeulenaere… - … on Automatic Control, 2009 - ieeexplore.ieee.org
This paper focuses on time-optimal path tracking, a subproblem in time-optimal motion
planning of robot systems. Through a nonlinear change of variables, the time-optimal path …
planning of robot systems. Through a nonlinear change of variables, the time-optimal path …
Fast direct multiple shooting algorithms for optimal robot control
Fast Direct Multiple Shooting Algorithms for Optimal Robot Control Page 1 Fast Direct Multiple
Shooting Algorithms for Optimal Robot Control M. Diehl1, HG Bock1, H. Diedam1, and P.-B …
Shooting Algorithms for Optimal Robot Control M. Diehl1, HG Bock1, H. Diedam1, and P.-B …
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 …
Dynamic optimization of batch processes: I. Characterization of the nominal solution
The optimization of batch processes has attracted attention in recent years because, in the
face of growing competition, it is a natural choice for reducing production costs, improving …
face of growing competition, it is a natural choice for reducing production costs, improving …