The scientist’s investigation covers issues in Control theory, Complex network, Dynamical systems theory, Network topology and Convergence. His study connects Topology and Control theory. His work deals with themes such as Exponential stability and Synchronization, which intersect with Complex network.
His Dynamical systems theory research incorporates elements of Limit cycle, Qualitative theory, Mathematical analysis and Dynamical system. His work in Limit cycle covers topics such as Generic property which are related to areas like Systems biology. His Network topology research is multidisciplinary, incorporating perspectives in Distributed computing, Platoon, Controllability, Telecommunications network and Consensus.
Mario di Bernardo mostly deals with Control theory, Nonlinear system, Complex network, Topology and Synchronization. His study explores the link between Control theory and topics such as Control engineering that cross with problems in Control. His Nonlinear system research includes elements of Vector field and Stability.
His Complex network research includes themes of Node, Network topology, Controllability and Distributed computing. His research in Bifurcation tackles topics such as Mathematical analysis which are related to areas like Bifurcation diagram. Mario di Bernardo interconnects Dynamical systems theory and Applied mathematics in the investigation of issues within Piecewise.
Mario di Bernardo spends much of his time researching Microfluidics, Artificial intelligence, Control, Distributed computing and Electronic circuit. His work on Segmentation, Reinforcement learning and Deep learning as part of general Artificial intelligence study is frequently connected to Coupling, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His study on Distributed computing also encompasses disciplines like
In his research on the topic of Control theory, Control theory is strongly related with Yeast. His Synchronization study combines topics in areas such as Convergence, Protocol, Vector field, Piecewise and Complex network. His study focuses on the intersection of Convergence and fields such as Network topology with connections in the field of Topology.
His scientific interests lie mostly in Distributed computing, Electronic circuit, Synthetic biology, Microfluidics and Control theory. His Distributed computing study integrates concerns from other disciplines, such as Variety, Software deployment and Transcription. His Synthetic biology research is multidisciplinary, incorporating elements of In silico, In vivo and Escherichia coli.
His primary area of study in Control theory is in the field of Control theory. In Control theory, Mario di Bernardo works on issues like Reset, which are connected to Synchronization. He has included themes like Nonlinear system, Controllability and Topology in his Synchronization study.
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Piecewise-smooth Dynamical Systems: Theory and Applications
Mario Di Bernardo;C. J. Budd;Alan R. Champneys;P. Kowalczyk.
Controllability of complex networks via pinning.
Francesco Sorrentino;Mario di Bernardo;Franco Garofalo;Guanrong Chen.
Physical Review E (2007)
A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches
Irene Cantone;Lucia Marucci;Francesco Iorio;Maria Aurelia Ricci.
Bifurcations in Nonsmooth Dynamical Systems
Mario di Bernardo;Chris J. Budd;Alan R. Champneys;Piotr Kowalczyk.
Siam Review (2008)
Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays
Mario di Bernardo;Alessandro Salvi;Stefania Santini.
IEEE Transactions on Intelligent Transportation Systems (2015)
Distributed Adaptive Control of Synchronization in Complex Networks
Wenwu Yu;P. DeLellis;Guanrong Chen;M. di Bernardo.
IEEE Transactions on Automatic Control (2012)
Criteria for global pinning-controllability of complex networks
Maurizio Porfiri;Mario Di Bernardo.
Piecewise smooth dynamical systems
Alan R. Champneys;Mario di Bernardo.
On QUAD, Lipschitz, and Contracting Vector Fields for Consensus and Synchronization of Networks
Pietro DeLellis;Mario di Bernardo;Giovanni Russo.
IEEE Transactions on Circuits and Systems I-regular Papers (2011)
A comparative analysis of synthetic genetic oscillators.
Oliver Purcell;Nigel J. Savery;Claire S. Grierson;Mario di Bernardo.
Journal of the Royal Society Interface (2010)
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