PN 4: Project Overview

PN 4-1	Mixed first-principles and data-integrated modeling for control
PN 4-2	Determining system theoretic properties from input-output data
PN 4-2 (II)	Data-driven verification of system theoretic properties for nonlinear systems
PN 4-3	Optimization-based design of data-integrated controllers
PN 4-3 (II)	Data-Enhanced Analysis and Controller Design for Uncertain Systems
PN 4-4	Theoretical Guarantees for Predictive Control in Adaptive Multi-Agent Scenarios
PN 4-4 (II)	Learning from Data - Predictive Control in Adaptive Multi-Agent Scenarios
PN 4-6	Safe control of redundant musculoskeletal systems using nonlinear MPC
PN 4-6 (II)	Combining Data and First Principles in the Control of Muscle-redundant Systems in Biomechanics and Robotics - Exploring the Contribution of Prior Knowledge Through Morphology Variation
PN 4-7	Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)
PN 4-8	Data-Integrated Low-Dimensional Surrogate Models with Guarantees
PN 4-9	Combining Data and First Principles in the Synergy-Based Control of Soft Robotic
PN 4-10	Uncertainty quantification for indirect and direct data-driven control