Program

Opening remarks

Taylor Series Imitation Learning

Data-Enabled Predictive Control

Data-Driven Control of Nonlinear Systems

Neural Network Verification using Sparse Polynomial Optimisation

Control over Wireless: Is Stability the Right Target?

Optimization and Control via Localized and Approximate Algorithms

Spiking Control Systems

Controlling Complexity: Challenges and Opportunities

Challenges and Opportunities in Interactive Robotics

Design and Control of Wearable Robots for Physical Human-Robot Interaction

Dynamic Robots: Stability, Safety and Humans-in-the-loop

Bridging the Gap Between Optimal Control and Real-Time Safe Control in Autonomous Systems

Model Reduction for Nonlinear Control Systems

Dimensionality Reduction Techniques for Scalable Model-Free Wide-Area Control of Power Systems

Systems and Control Research for Efficient Wind Energy Systems

Learning and Information Design for Efficient Network Operations

Adaptive Control and Real-time Machine Learning

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Towards Safe and Efficient Model-based Reinforcement Learning

Control with multiplicative noise

A Continuation Method for Taming the Tyranny of Large-scale Systems: from Hilbert’s 6th Problem to Multi-agent Control

Real-Time Distributed Learning using Kernel Methods

Robust Distributed Optimization: Control Theory Tools

Optimal Interventions in Network Games

Information Sale and Data Markets

Modeling and Design of Influence Mechanisms in Networks

A Systems Approach to Electrified Mobility

Incentive Design Problem in Shared Mobility

Topics in Aerospace Control

Automated Decision Making for Safety-Critical Applications

Traffic Flow Smoothing at Scale

Cyber-Security of Multi-Agent Systems

Closing remarks