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How to find us prof. dr. ir. M. (Ming) Cao

Research interests

multi-agent systems, complex systems and networks, distributed decision-making and coordination, cooperative control, adaptive control, human/robot interaction dynamics, robotic teams, brain and neural networks, electric power systems, traffic networks

Google Scholar Profile: https://scholar.google.com/citations?user=hOEE_4sAAAAJ

Web of Science Profile: https://publons.com/researcher/2232450/ming-cao/

 

Publications

Applications of the Poincare-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems

Human Decision-Making in Multi-Agent Systems

Learning enables adaptation in cooperation for multi-player stochastic games

Design of Privacy-Preserving Dynamic Controllers: Special Issue of "Security and Privacy of Distributed Algorithms and Network Systems"

Networks of conforming or nonconforming individuals tend to reach satisfactory decisions

Argue to Learn: Accelerated Argumentation-Based Learning

Asynchronous and Time-Varying Proximal Type Dynamics in Multiagent Network Games

Different Environment Feedback in Fast-slow Eco-evolutionary Dynamics and Resulting Limit Cycles

Distributed coordinated path following using guiding vector fields

Distributed Model Predictive Control and Optimization for Linear Systems With Global Constraints and Time-Varying Communication

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Press/media

Natuur weet antwoord

Bij robots staat de functie voorop

Topregelaar

2016 European Control Award for Ming Cao

Sensorruis stuurt flexibele robots

Sensor noise guides flexible robots

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