Research graph
References from From detection to action: Using LLM agents for Fault-Tolerant Control. Local targets link to admitted publications; unresolved targets remain external evidence.
From automated to autonomous process operations
10.1016/j.compchemeng.2025.109064 · 2025 · External reference
Fault handling in industry 4.0: Definition, process and applications
10.3390/s22062205 · 2022 · External reference
Detection of historical alarm subsequences using alarm events and a coactivation constraint
10.1109/access.2021.3067837 · 2021 · External reference
Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation
10.1016/j.compchemeng.2024.108798 · 2024 · External reference
Model-based fault-tolerant control with robustness to unanticipated faults
10.1016/j.ifacol.2017.08.401 · 2017 · External reference
A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors
10.1016/j.cej.2021.130993 · 2022 · External reference
Learning to navigate a crystallization model with deep reinforcement learning
10.1016/j.cherd.2021.12.005 · 2022 · External reference
Recent advances in reinforcement learning for chemical process control
2024 · External reference
Control-informed reinforcement learning for chemical processes
2024 · External reference
Unresolved reference
2023 · External reference
Development of autonomous operation agent for normal and emergency situations in nuclear power plants
2021 · External reference
Control industrial automation system with large language model agents
2025 · External reference
Leveraging LLM agents and digital twins for fault handling in process plants
2025 · External reference
Multi-agent systems for chemical engineering: a review and perspective
10.1016/j.coche.2025.101209 · 2026 · External reference
Unresolved reference
2024 · External reference
GRAPSE: Graph-based retrieval augmentation for process systems engineering
10.69997/sct.198790 · 2025 · External reference
Unresolved reference
2025 · External reference
Autonomous industrial control using an agentic framework with large language models
10.1016/j.ifacol.2025.07.170 · 2025 · External reference
Unresolved reference
2025 · External reference
GPT prompt engineering for a large language model-based process improvement generation system
10.1007/s11814-024-00276-1 · 2024 · External reference
Knowledge graph modeling-driven large language model operating system (LLM OS) for task automation in process engineering problem-solving
2024 · External reference
Multi-agent LLMs for automating sustainable operational decision-making
2025 · External reference
Unresolved reference
2023 · External reference
Digital twin in industry: State-of-the-art
10.1109/tii.2018.2873186 · 2019 · External reference
Digital twin in manufacturing: A categorical literature review and classification
10.1016/j.ifacol.2018.08.474 · 2018 · External reference
Systematic comparison of software agents and digital twins: differences, similarities, and synergies in industrial production
2024 · External reference
Method for selecting digital twins of entities in a system-of-systems approach based on essential information attributes
2022 · External reference
Ontology building for cyber–physical systems: Application in the manufacturing domain
2020 · External reference
Chatbot-based ontology interaction using large language models and domain-specific standards
2024 · External reference
Representing time-continuous behavior of cyber-physical systems in knowledge graphs
2025 · External reference
Integrating Ontology Design with the CRISP-DM in the Context of Cyber-Physical Systems Maintenance
2024 · External reference
SOSA: A lightweight ontology for sensors, observations, samples, and actuators
10.1016/j.websem.2018.06.003 · 2019 · External reference
Unresolved reference
External reference
GPT prompt engineering for a large language model-based process improvement generation system
10.1007/s11814-024-00276-1 · ExternalCitation · doi-reference
A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors
10.1016/j.cej.2021.130993 · ExternalCitation · doi-reference
Learning to navigate a crystallization model with deep reinforcement learning
10.1016/j.cherd.2021.12.005 · ExternalCitation · doi-reference
Multi-agent systems for chemical engineering: a review and perspective
10.1016/j.coche.2025.101209 · ExternalCitation · doi-reference
Design and implementation of an autonomous systems training environment framework for control algorithm evaluation in autonomous plant operation
10.1016/j.compchemeng.2024.108798 · ExternalCitation · doi-reference
From automated to autonomous process operations
10.1016/j.compchemeng.2025.109064 · ExternalCitation · doi-reference
Model-based fault-tolerant control with robustness to unanticipated faults
10.1016/j.ifacol.2017.08.401 · ExternalCitation · doi-reference
Digital twin in manufacturing: A categorical literature review and classification
10.1016/j.ifacol.2018.08.474 · ExternalCitation · doi-reference
Autonomous industrial control using an agentic framework with large language models
10.1016/j.ifacol.2025.07.170 · ExternalCitation · doi-reference
SOSA: A lightweight ontology for sensors, observations, samples, and actuators
10.1016/j.websem.2018.06.003 · ExternalCitation · doi-reference
Detection of historical alarm subsequences using alarm events and a coactivation constraint
10.1109/access.2021.3067837 · ExternalCitation · doi-reference
Digital twin in industry: State-of-the-art
10.1109/tii.2018.2873186 · ExternalCitation · doi-reference
Fault handling in industry 4.0: Definition, process and applications
10.3390/s22062205 · ExternalCitation · doi-reference
GRAPSE: Graph-based retrieval augmentation for process systems engineering
10.69997/sct.198790 · ExternalCitation · doi-reference
