Information systems research

11 Model-Based Controlling Approaches for Manufacturing Processes

Reinforcement learning-based adaptive control strategies for sustainable production systems

Abstract. The need to achieve sustainable production has become an urgent necessity in the conditions of stricter environmental requirements and the rise in the cost of energy worldwide. The classical proportionalintegralderivative controllers and linear Model Predictive Controllers are conventional model-based control...

Stability- and Safety-Guaranteed Artificial Intelligence: Enhancing Renewable-Dominated Power System Operation and Control

As renewable energy becomes the dominant generation resource in modern power systems, system stability and safety pose critical challenges due to increased uncertainty, reduced inertia, and escalating system complexity. Artificial intelligence (AI) provides unprecedented capabilities for real-time control, predictive o...

Multi-Agent System-driven Digital Twins for predictive maintenance: architectures, technologies and open research challenges

This systematic review explores the intersection between Multi-Agent Systems and Digital Twins, with a particular focus on predictive maintenance applications in resource-constrained contexts and reveals that, despite significant progress, no existing system offers an integrated embedded-distributed hierarchical soluti...

Artificial Intelligence as Effectiveness Enabler of Dynamic Reconfiguration of Systems Architecture in Industry 5.0

The proof of concept shows how telemetry, data storage, machine learning models, and operator feedback can be combined to support auditable, explainable, and human-contestable industrial decisions, demonstrating the classification accuracy, remaining useful life forecasting capabilities, and enhanced recommendation pre...

An AI-Driven Integrated Framework for Construction, Operation, And Grid Optimization of Battery Energy Storage Systems

The rapid expansion of renewable energy systems has intensified the need for advanced Battery Energy Storage Systems (BESS) capable of supporting grid stability, operational efficiency, and resilient infrastructure development. This paper proposes an AI-driven integrated framework for the construction, operation, an...