WP1: Control and optimization for systems, materials and manufacturing
This work package brings together experts in automatic control, optimization and materials engineering to offer a unique opportunity for interdisciplinary research collaboration in these domains. The work package targets fundamental advances in methods and the underlying theories as well as a rapid transfer of results to practice.
WP Leader: Milan Korda
Research Areas (RA) / Research Objectives (RO)
RA1 Control of distributed-parameter systems and complex robotic structures
Lead: Tomáš Vyhlídal
RA1 will develop control design tools for complex systems, including distributed-parameter and time-varying systems, and embed them in industry-ready low-complexity controllers and estimators. The methods developed will be applied to simultaneous motion control and vibration suppression of robotic structures, with applications in (micro)machining and laser-based additive manufacturing.
- Optimal control of interconnected time-delay systems (Tomáš Vyhlídal, Zbyněk Šika)
- Extending the system decoupling method (Vladimír Kučera, Tomáš Vyhlídal)
- Control and vibration suppression of light robotic structures (Zbyněk Šika, Tomáš Vyhlídal)
- Algorithms for industrial control (Miloš Schlegel – UWB, O. Straka)
- Estimation and filtering (Jakub Dokoupil – BUT)
- Advanced manufacturing (Pavel Zeman).
RA2: Control for modular systems, structures and materials
Lead: Michael Šebek
RA2 will develop new model-based and data-driven automatic control methods for modular systems, structures, and materials. The primary focus will be on exploiting knowledge of interconnection structure as the enabling step for developing scalable, control-oriented modelling, simulation and analysis, as well as distributed and collaborative control, including hardware implementation. The target applications involve the coordination of multiple assembly machines and robots, as well as self-assembly processes.
- Methodology for collaborative assembly of modular structures (Kristian Hengster-Movric, Jiří Zemánek)
- Methodology for control of assembled modular structures (Zdeněk Hurák, Michael Šebek, Jiří Zemánek)
RA3: Convex relaxations for non-convex problems in materials and industrial design
Lead: Didier Henrion
RA3 is the WP’s theoretical backbone; it will develop methods for solving nonlinear and nonconvex optimization problems from materials engineering through a hierarchy of convex relaxations. It will guarantee the convergence of the hierarchy as well as ensure its scalability to industrial-size problems by exploiting the structure (sparsity, symmetry) inherent to these problems.
- No relaxation gap in the moment-SOS hierarchy (Didier Henrion, Milan Korda, Martin Kružík)
- Better scalability of the moment-SOS hierarchy (Didier Henrion, Milan Korda, Jean Bernard Lasserre, Martin Kružík)
RA4: Computer-aided design, simulation and manufacturing of modular materials
Lead: Jan Zeman
RA4 exploits modularity as the game-changing paradigm for distributed manufacturing of mass-customized products. As this modular-material framework is still in its infancy, novel theoretically supported algorithms and tools will be developed, exploiting modularity in simulating, optimizing and automated manufacturing.
- Simulations (Milan Jirásek, Jan Zeman)
- Optimal design (Michal Kočvara, Jan Zeman)
- Manufacturing and validation (Jan Novák, Václav Nežerka)
RA5: Automation for nanoscale surface engineering
Lead: Tomáš Polcar
RA5 aims at energy savings and cost reduction in materials engineering. This will be achieved by automated tribological testing, speeding up the development of new, ultra-low friction, materials; by the design and manipulation of 2D materials, paving the way toward the industrial use of solid superlubric materials; and by magnetron sputtering using a robotic arm for local deposition of thin films on large objects, reducing production time and material waste.
- Robotic magnetron sputtering(Tomáš Polcar)
- Automated nanoscale tribology (Tomáš Polcar, Antonio Cammarata)
- Design and manipulation of 2D materials (Tomáš Polcar, Antonio Cammarata)