Publication

Batch process optimization via run-to-run constraints adaptation

Related publications (38)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Batch process optimization via run-to-run constraints adaptation

Graph Chatbot

Chat with Graph Search

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Utility/privacy trade-off as regularized optimal transport

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Analysis of output modifier adaptation for real-time optimization

Very-High-Speed Miniaturized Permanent Magnet Motors: Design and Optimization

Distributed Coupled Learning Over Adaptive Networks

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Utility/privacy trade-off as regularized optimal transport

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Analysis of output modifier adaptation for real-time optimization

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Distributed Coupled Learning Over Adaptive Networks

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Very-High-Speed Miniaturized Permanent Magnet Motors: Design and Optimization