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[J#] : Journal article                                                       

[C#] : Conference article


2023

[J21] Burbano, D., Senthilkumar, S, Manzini MC., “Exploring emotional contagion in zebrafish: A virtual-demonstrator study of positive and negative emotions”. Behavioural Processes.

[J20] Burbano, D., Yousefian F., “A fish rheotaxis mechanism as a zero-order optimization strategy”. IEEE Access.

[C12] Burbano, D., “A bio-inspired distributed strategy to infer the size of a network system”. Proc. of the IEEE Conference on Decision and Control (CDC).


2022

[J19] Burbano, D., Porfiri., M., “Collective response of fish to combined manipulations of illumination and flow”. Behavioural Processes.

[J18] Burbano, D., Zino L., Butail, et.al., “Activity-driven network modeling and control of the spread of two concurrent epidemic strains”. Applied Network Science.

[J17] Burbano, D., Ventura R., Tian Y.C., Porfiri., M., “Educating Youth About Human Impact on Freshwater Ecosystems Using an Online Serious Game”. IEEE Transactions on Games.


2021

[J16] Burbano, D., Simone Macrì S., Porfiri., M., “Collective Emotional Contagion in Zebrafish”. Frontiers in Behavioral Neuroscience

[J15] Burbano, D., Porfiri., M., “Modeling multi-sensory feedback control of zebrafish in a flow”. PLoS Computational Biology.

[C11] Burbano, D. Porfiri, M., “Modeling zebrafish geotaxis as a feedback control process”, proc. of the IEEE American Control Conference (ACC).


2020

[J14] Hasanyan, J., Zino, L., Burbano, D., Rizzo, A., and Porfiri, M. “Leader-follower consensus on activity-driven networks”. Royal Society A: Mathematical, Physical and Engineering Sciences.

[J13] Nadini, M., Pongsachai, P., Spinello, C., Burbano, D. , Rizzo, A., and Porfiri, M. “Empirical evidence of upward social comparison in a prisoner’s dilemma game”. IEEE Access.

[J12] Burbano, D., Yaghouti, S., Petrarca, C., de Magistris, M., di Bernardo M., “Synchronization in Multiplex Networks of Chua’s Circuits: Theory and Experiments”, IEEE Transactions on Circuits and Systems I: Regular Papers.

[J11] Burbano, D., Porfiri., M., “Data-driven modeling of zebrafish behavioral response to acute caffeine administration”, Journal of Theoretical Biology.

[C10] Burbano, D. Porfiri, M., “Modeling zebrafish geotaxis as a feedback control process”, proc. of the IEEE American Control Conference (ACC).


2019

[J10] Burbano, D., Freeman, R., Lynch., K., “Discovering the topology of complex networks via adaptive estimators”, Chaos: An interdisciplinary Journal of Nonlinear Science.

[J9] Burbano, D., Freeman, R., Lynch., K., “Distributed Inference of the Multiplex Network Topology of Complex Systems”, IEEE Transactions on Control of Network Systems.

[C9] Burbano, D. George, J. Freeman, R.; Lynch, K., “Inferring Private Information in Wireless Sensor Networks”, proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

[C8] Burbano, D. Freeman, R.; Lynch, K., “A distributed adaptive observer for leader-follower networks”, proc. of the IEEE American Control Conference (ACC).


2018

[J8] Burbano, D., Russo, G., di Bernardo., M., “Pinning Controllability of Complex Network Systems With Noise”, IEEE Transactions on Control of Network Systems.

[C7] Burbano, D.; Coraggio M.; di Bernardo M.; Garofalo F.; Pugliese M., “Adaptive and quasi-sliding control of shimmy in landing gears”, Proc. of the European Control Conference (ECC).

[C6] Burbano, D., Freeman R. Lynch K., “Inferring the network topology of interconnected nonlinear units with diffusive couplings”, Proc. of the American Control Conference (ACC)


2017

[C5] Burbano, D., Russo, G., di Bernardo., M., “Pinning Controllability of Complex Stochastic Networks”, Proc. of IFAC world congress.


2016

[J7] Burbano, D. ; di Bernardo., M., “Synchronization and local convergence analysis of networks with dynamic diffusive coupling”, Chaos: An Interdisciplinary Journal of Nonlinear Science.

[J6] Burbano, D. ; Delellis P., di Bernardo., M., “Self-tuning proportional-integral control for consensus in heterogeneous multi-agent systems”, European Journal of Applied Mathematics.

[J5] Burbano, D.; di Bernardo., M., “Multiplex PI-Control for Consensus in Networks of Heterogeneous Linear Agents”, Automatica.

[J4] Morcillo, D.; Burbano, D. ; Angulo., F., “Adaptive Ramp Technique for Controlling Chaos and Sub-harmonic Oscillations in DC-DC Power Converters”, IEEE Transactions on Power Electronics.


2015

[J3] Burbano, D. ; di Bernardo., M., “Distributed PID Control for Consensus of Homogeneous and Heterogeneous Networks”, IEEE Transactions on Control of Network Systems.

[C4] Burbano, D., di Bernardo., M., “Multilayer Proportional-Integral Consensus of Heterogeneous Multi-agent Systems”, IEEE Conference on Decision and Control (CDC).


2014

[C3] Burbano, D. ; di Bernardo., M., “Consensus and synchronization of complex networks via proportional-integral coupling”, Proc. IEEE International Symposium on Circuits and Systems.


2012

[J2] Hoyos, F.; Burbano, D. ; Angulo, F.; Olivar, G.; Toro, N.; Taborda, J. A., “Effects of quantization, delay and internal resistances in digitally ZAD-controlled buck converter”, International Journal of Bifurcation and Chaos.

[J1] Taborda, J.; Burbano, D., Angulo, F., “Quantization Effects on Period Doubling Route to Chaos in a ZAD-Controlled Buck Converter”, Mathematical Problems in Engineering.

[C2] Burbano, D. A., C., Erazo, Angulo., F., “A robust controller for DC-DC buck converters based on GZAD strategy”, Proc. of the 4th IEEE Colombian Workshop on Circuits and Systems.

[C1] Burbano , D., Angulo, F., “Decreasing quantization effects in a buck converter controlled by GZAD strategy”, Proc. of the IX IEEE Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC).