The systems and control community lies at the intersection of mathematics and engineering and addresses key challenges in the modeling, simulation, optimization, and control of complex dynamical systems. This field raises numerous theoretical and mathematical questions with direct relevance to pressing technological initiatives - such as the development of digital twins, the transformation of energy networks, and the design of intelligent control algorithms for future infrastructure. One prominent theme is the dissipation of energy to the environment, which plays a central role in determining the efficiency, stability, and operating cost of such systems. Modern energy-based modeling paradigms, such as port-Hamiltonian systems, enable a rigorous description of energy flows within and across subsystems. These structures offer significant advantages for simulation, optimization, and control by allowing practitioners to exploit the physical properties and intrinsic dissipativity of the systems under consideration.
The 3rd Brig Workshop on Dissipativity in Systems and Control will focus on this interdisciplinary domain and provide a platform for exchanging ideas at the forefront of dissipativity theory. The program will cover:
- the use of dissipative and port-Hamiltonian structures in control, simulation, and optimization,
- energy-based modeling techniques,
- structure-preserving model order reduction, and
- machine learning and data-driven control approaches.
