Main > TBB29
Thiago Burghi 
Background -
Research -
Publications
Position: Research Associate
Office Location: BN4-86
E-mail: tbb29 [at] cam.ac.uk
Principal Investigator: Professor Rodolphe Sepulchre
Background
2012: BSc Automation and Control Engineering (University of Campinas, Brazil)
2012: Diplôme d'Ingénieur (École Nationale Supérieure de Techniques Avancées, France)
2014: Msc Mechanical Engineering (University of Campinas, Brazil)
2020: PhD Feedback for neuronal system identification (University of Cambridge, UK)
Research Interests
Neuronal systems; Nonlinear oscillations; Nonlinear system identification; Nonlinear systems; Differential analysis
Publications
Journal papers
T. Burghi, M. Schoukens and R. Sepulchre. “Feedback identification of conductance-based models”. Automatica 123, Article 109297
, January 2021. https://doi.org/10.1016/j.automatica.2020.109297
Conference papers
T. Burghi, M. Schoukens and R. Sepulchre. “System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – (to appear) December 2020, Jeju Island, South Korea.
https://arxiv.org/abs/2012.07691
T. Burghi, M. Schoukens and R. Sepulchre. “Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.
https://ieeexplore.ieee.org/document/8795769
T. Burghi, J. Iossaqui, J. Camino, “Stability analysis of perturbed nonlinear systems applied to the trajectory control of a wheeled mobile robot subject to lateral slip ”. Proceedings of the 17
th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.
Conference posters
“Identification of Excitable Neuronal Systems”. 27th Annual Computational Neuroscience Meeting (CNS*2018) – July 2018, Seattle, WA, United States.
Talks
“Identification of Excitable Neuronal Systems”. 27th European Research Network on System Identification (ERNSI) Workshop – September 2018, Cambridge, United Kingdom.
