Projection-based Control: A Novel Paradigm for High-performance Systems

Descripción del proyecto

Un paradigma nuevo en el campo del control

La teoría de control se ocupa del control de los sistemas dinámicos en procesos artificiales y en máquinas. Los algoritmos de control están integrados en casi todo tipo de tecnología. El campo del control ha sido un motor fundamental para las principales innovaciones sociales en materia de salud, movilidad, energía y fabricación. En el proyecto financiado con fondos europeos PROACTHIS, se creará un nuevo paradigma de control basado en operadores de proyección, aprovechando metodologías pluridisciplinares de sistemas híbridos, ingeniería de control, sistemas en red, aprendizaje y matemáticas.

Objetivo

The field of control has been a key driver for major societal innovations in health, mobility, energy and manufacturing. At present, technological trends push the performance requirements for future applications to extreme levels that are far beyond current control solutions. Existing linear controllers for linear systems are supported by user-friendly time- and frequency-domain design tools, yet they lack the flexibility to overcome fundamental performance tradeoffs. Full nonlinear control structures provide the desirable flexibility, but they lack comprehensive frequency-domain design techniques. These observations indicate a lack of flexible control structures accompanied by systematic design and online optimization frameworks exploiting time- and frequency-domain information to realize the unparalleled performance needs of future engineering systems. In PROACTHIS, I will bridge this scientific gap by creating a new control paradigm based on projection operators. By introducing projections in control loops, specific signals are kept in well-chosen constraint sets inducing direct performance-enhancing benefits. I foresee that the mathematical structure of these projection-based controllers enables fundamental properties that were instrumental in the success of linear control and will be key to obtain effective design frameworks for this new class of hybrid controllers. Developing projection-based control theory has high risks, as even the mathematical formalization of these control schemes leads to a new class of dynamical systems never studied before. This scientific challenge calls for leveraging powerful multi-disciplinary methodologies from Hybrid Systems, Control Engineering, Networked Systems, Learning and Mathematics. Successfully developing this new system theory will pave the way towards game-changing cutting-edge control methodologies addressing the needs of future engineering systems, thereby enabling new breakthroughs in important societal domains.