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The Distributed Measurement and Control (DiMeCon) Laboratory conducts research and development in distributed, networked, and intelligent systems for measurement, supervision, and control. Our work bridges control engineering, software systems, and modern communication technologies, with applications in cyber-physical and IoT-based systems.

Distributed & Networked Control
Design and analysis of control systems operating over communication networks, with emphasis on scalability, robustness, and coordination of large-scale interconnected systems.

Data-Driven & Learning-Based Methods
Identification, adaptation, and decision-making using data-centric methods integrated with control-theoretic foundations and performance guarantees.

Safety & Reliability
Safety-aware and resilient control solutions addressing uncertainty, faults, and operational constraints.

Interested in collaboration, research projects, or thesis opportunities?

Projects

The laboratory participates in research and development projects across academic and industrial collaborations. Our projects range from methodological advances in networked control to experimental platforms for IoT-enabled measurement and supervision.

Featured projects:

Publications

Publications from DiMeCon reflect contributions to distributed measurement and control, learning-based methods, and reliable cyber-physical systems. Selected items are listed below, with the full bibliography available on the Publications page.

Infrastructure

DiMeCon maintains experimental platforms for distributed measurement, supervision, and control, including networked control setups, IoT/edge devices, embedded systems, and software toolchains for real-time data acquisition and control.