Project description
Advancing data-driven control for complex systems
Data-driven control is significant for modern science and engineering, enabling breakthroughs in areas such as autonomous vehicles, where video data guides decision-making, and precision medicine, where genetic time-series data guides treatments. However, working with high-dimensional data presents significant challenges, especially when time samples are limited compared to system complexity. Issues such as latency and stability often cause unpredictable outcomes. The ERC-funded DualControl project will introduce innovative tools based on system theory for positive cones – a concept well established in sparse matrix theory and optimal transport but unexplored in adaptive control. Collaborating with cancer researchers, the project team will develop personalised, learning-based control laws for cancer immunotherapy.
Objective
In recent years, data-driven control in high dimensions has penetrated into many new application areas. Examples include control of autonomous vehicles based on video data, simulation based prediction of turbulent flows and precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamical systems is hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning-based feedback in high dimensions is still carried out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control of complex systems in engineering and medicine.
The term dual control was introduced in the 1960s to describe the tradeoff between short term control objectives and actions to promote learning for long term performance. A variety of algorithms have been developed to address the problem, but rigorous dynamic analysis is still restricted to systems of low dimension. We propose to address the high-dimensional challenges using a new set of tools based on system theory for positive cones. The cone concept is already well established in the context of sparse matrix theory, compartment models and optimal transport. However, its systematic use for dual and adaptive control remains unexplored. Preliminary results suggest that we are still very far from full exploitation of its algorithmic and analytic potential.
Theory and algorithms will in this project be developed in close interaction with researchers studying single cell genetic time series data as a basis for cancer immunotherapy. Learning-based control laws for individually optimized therapy will be developed based on data from cancer tumors.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine immunology immunotherapy
- social sciences law
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2024-ADG
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22100 Lund
Sweden
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