Difference: TBB29 (1 vs. 14)

Revision 14
05 Apr 2022 - tbb29
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META TOPICPARENT name="ControlPeople"

Thiago Burghi

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Journal papers

Changed:
<
<		 T. B. Burghi, R. Sepulchre, "Online estimation of biophysical neural networks". In review, IEEE Transactions on Automatic Control, November 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)
>
>		 R. Schmetterling, T. B. Burghi, and R. Sepulchre. “Adaptive Conductance Control”. Accepted for publication at IFAC Annual Reviews in Control, December 2021.
 
Changed:
<
<		 C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task". In review, Brain and Neuroscience Advances, October 2021.
>
>		 T. B. Burghi and R. Sepulchre, “ Online estimation of biophysical neural networks”. Preprint; in review, IEEE Transactions on Automatic Control, November 2021.
 
Changed:
<
<		 C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, SIAM Journal on Control and Optimization, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)
>
>		 C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, “Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task”. Under review, Brain and Neuroscience Advances, October 2021.
 
Changed:
<
<		 T. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback identification of conductance-based models”. Automatica 123, Article 109297, January 2021.
>
>		 C. Grussler, T.B. Burghi, and S. Sojoudi, “ Internally Hankel $k$-positive systems”. Preprint; accepted for publication, SIAM Journal on Control and Optimization, March 2021.

T. B. Burghi, M. Schoukens, and R. Sepulchre. “ Feedback identification of conductance-based models”. Automatica 123, Article 109297, January 2021.

 

Conference papers

Changed:
<
<		 T. B. Burghi, M. Schoukens and R. Sepulchre. “ System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea.
>
>		 T. B. Burghi, Timothy O'Leary, and R. Sepulchre. “ Distributed online estimation of biophysical neural networks”. Preprint; in review, 61st IEEE Conference on Decision and Control (CDC 2022).

J. G. Lee, T. B. Burghi, and R. Sepulchre. “Induced contraction”. Under review, 61st IEEE Conference on Decision and Control (CDC). Mar. 2022.

J. G. Lee and T. B. Burghi. “Funnel control by induced contraction”. Under review, 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS). Feb. 2022.

 
Changed:
<
<		 T. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.
>
>		 T. B. Burghi, M. Schoukens, and R. Sepulchre. “ System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea.

T. B. Burghi, M. Schoukens, and R. Sepulchre. “ Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.

 

T. B. 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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.

Conference posters

Changed:
<
<		 “Identification of Excitable Neuronal Systems”. 27th Annual Computational Neuroscience Meeting (CNS*2018) – July 2018, Seattle, WA, United States.
>
>		 T. B. Burghi, E. Morozova, S. Kedia, E. Marder, and T. O'Leary. "Learning a biophysical neural model during the time frame of an experiment." FENS Forum 2022 (Federation of European Neuroscience Societies). Feb. 2022.

T. B. Burghi and Rodolphe Sepulchre. “Identification of Excitable Neuronal Systems”. 27th Annual Computational Neuroscience Meeting (CNS*2018) – July 2018, Seattle, WA, United States.

 

Talks

Revision 13
07 Jan 2022 - tbb29
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META TOPICPARENT name="ControlPeople"
Changed:
<
<

Thiago BurghiThiagoBurghi.JPG

>
>

Thiago Burghi

ThiagoBurghi.JPG

 

Background - Research - Publications

Revision 12
10 Dec 2021 - tbb29
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META TOPICPARENT name="ControlPeople"

Thiago BurghiThiagoBurghi.JPG

Line: 33 to 33
 

Journal papers

Changed:
<
<		 T. B. Burghi, R. Sepulchre, "Online estimation of biophysical neural networks". In review, November 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)
>
>		 T. B. Burghi, R. Sepulchre, "Online estimation of biophysical neural networks". In review, IEEE Transactions on Automatic Control, November 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)
 
Changed:
<
<		 C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task". In review, October 2021.
>
>		 C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task". In review, Brain and Neuroscience Advances, October 2021.
 
Changed:
<
<		 C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)
>
>		 C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, SIAM Journal on Control and Optimization, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)
 

T. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback identification of conductance-based models”. Automatica 123, Article 109297, January 2021.

Revision 11
07 Dec 2021 - tbb29
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META TOPICPARENT name="ControlPeople"

Thiago BurghiThiagoBurghi.JPG

Line: 26 to 26
 

Research Interests

Changed:
<
<		 Neuronal systems; Nonlinear oscillations; Nonlinear system identification; Nonlinear systems; Differential analysis
>
>		 Neuronal systems; Deep learning; Adaptive control; Nonlinear system identification; Nonlinear systems analysis; Differential analysis.
 

Publications

Line: 35 to 35
 

T. B. Burghi, R. Sepulchre, "Online estimation of biophysical neural networks". In review, November 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)

Added:
>
>		 C. Toschi, M. H. El-Sayed, T. B. Burghi, T. Sell, P. Moazen, L. Huang, U. Gether, T. W. Robbins, J. W. Dalley, "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task". In review, October 2021.
  C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)

T. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback identification of conductance-based models”. Automatica 123, Article 109297, January 2021.

Revision 10
06 Dec 2021 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"
Changed:
<
<

Thiago Burghi

>
>

Thiago BurghiThiagoBurghi.JPG

 

Background - Research - Publications

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E-mail: tbb29 [at] cam.ac.uk

Changed:
<
<		 Principal Investigator: Professor Rodolphe Sepulchre
>
>		 Principal Investigator: Dr Timothy O'Leary
 

Background

Line: 37 to 37
 

C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)

Changed:
<
<		 T. B. 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
>
>		 T. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback identification of conductance-based models”. Automatica 123, Article 109297, January 2021.
 

Conference papers

Changed:
<
<		 T. B. Burghi, M. Schoukens and R. Sepulchre. “System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea. https://arxiv.org/abs/2012.07691
>
>		 T. B. Burghi, M. Schoukens and R. Sepulchre. “ System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea.
 
Changed:
<
<		 T. B. 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. B. Burghi, M. Schoukens and R. Sepulchre. “ Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.
 

T. B. 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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.

Line: 56 to 56
  “Identification of Excitable Neuronal Systems”. 27th European Research Network on System Identification (ERNSI) Workshop – September 2018, Cambridge, United Kingdom.

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>
>
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Revision 9
08 Nov 2021 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Line: 33 to 33
 

Journal papers

Added:
>
>		 T. B. Burghi, R. Sepulchre, "Online estimation of biophysical neural networks". In review, November 2021. Preprint: [2111.02176] Online estimation of biophysical neural networks (arxiv.org)
  C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)
Changed:
<
<		 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
>
>		 T. B. 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

Changed:
<
<		 T. Burghi, M. Schoukens and R. Sepulchre. “System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea. https://arxiv.org/abs/2012.07691
>
>		 T. B. Burghi, M. Schoukens and R. Sepulchre. “System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – December 2020, Jeju Island, South Korea. https://arxiv.org/abs/2012.07691
 
Changed:
<
<		 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. B. 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
 
Changed:
<
<		 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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.
>
>		 T. B. 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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.
 

Conference posters

Revision 8
17 Mar 2021 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Line: 33 to 33
 

Journal papers

Added:
>
>		 C. Grussler, T.B. Burghi, S. Sojoudi, "Internally Hankel k-positive systems". In review, March 2021. Preprint: [2103.06962] Internally Hankel $k$-positive systems (arxiv.org)
  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

Changed:
<
<		 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. “System identification of biophysical neuronal models”. 59th IEEE Conference on Decision and Control (CDC 2020) – 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

Revision 7
15 Dec 2020 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Line: 37 to 37
 

Conference papers

Changed:
<
<		 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.
>
>		 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

Revision 6
31 Oct 2020 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Background - Research - Publications

Changed:
<
<		 Position: Research Assistant / PhD student
>
>		 Position: Research Associate
 
Changed:
<
<		 Office Location: BN4-85
>
>		 Office Location: BN4-86
 

E-mail: tbb29 [at] cam.ac.uk

Changed:
<
<		 Thesis Title: Feedback for neuronal system dentification

Supervisor: Professor Rodolphe Sepulchre

>
>		 Principal Investigator: Professor Rodolphe Sepulchre
 

Background

Line: 23 to 21
 

2014: Msc Mechanical Engineering (University of Campinas, Brazil)

Added:
>
>		 2020: PhD Feedback for neuronal system identification (University of Cambridge, UK)
 

Research Interests

Line: 33 to 33
 

Journal papers

Changed:
<
<		 T. Burghi, M. Schoukens and R. Sepulchre. “Feedback identification of conductance-based models”. Automatica (in print). Available at https://arxiv.org/abs/2002.09626
>
>		 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.

Changed:
<
<		 T. Burghi, M. Schoukens and R. Sepulchre. “Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.
>
>		 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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.

Revision 5
21 Sep 2020 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Line: 33 to 33
 

Journal papers

Changed:
<
<		 T. Burghi, M. Schoukens and R. Sepulchre. “Feedback identification of conductance-based models”. Provisionally accepted for publication at Automatica, April 2020. Available at https://arxiv.org/abs/2002.09626
>
>		 T. Burghi, M. Schoukens and R. Sepulchre. “Feedback identification of conductance-based models”. Automatica (in print). Available at https://arxiv.org/abs/2002.09626
 

Conference papers

Changed:
<
<		 T. Burghi, M. Schoukens and R. Sepulchre. “Feedback for Nonlinear System Identification”. Proceedings of the European Control Conference (ECC 2019) – June 2019, Naples, Italy.
>
>		 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.

T. Burghi, M. Schoukens and R. Sepulchre. “Feedback for Nonlinear System Identification”. 18th European Control Conference (ECC 2019) – June 2019, Naples, Italy.

 

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 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, 2015.

Revision 4
17 Apr 2020 - tbb29
Line: 1 to 1
 
META TOPICPARENT name="ControlPeople"

Thiago Burghi

Background - Research - Publications

Changed:
<
<		 Position: PhD student
>
>		 Position: Research Assistant / PhD student
 

Office Location: BN4-85

E-mail: tbb29 [at] cam.ac.uk

Changed:
<
<		 Thesis Title: Input-output analysis and identification of excitable systems
>
>		 Thesis Title: Feedback for neuronal system dentification
 

Supervisor: Professor Rodolphe Sepulchre

Line: 26 to 26
 

Research Interests

Changed:
<
<		 Excitable systems; Nonlinear oscillations; Nonlinear system identification;
>
>		 Neuronal systems; Nonlinear oscillations; Nonlinear system identification; Nonlinear systems; Differential analysis
 

Publications

Changed:
<
<		 Poster presentations
Burghi, T, Sepulchre, R. Transfer functions for excitable systems. United Kingdom Automatic Control Council (UKACC) PhD showcase 2017, at Birmingham - UK.

Proceedings
Burghi, T, Camino, J. F. Stability analysis of perturbed nonlinear systems applied to the tracking control of a wheeled mobile robot. 17th International Symposium on Dynamic Problems of Mechanics (Diname 2015), At Natal - Brazil.
>
>		 Journal papers

T. Burghi, M. Schoukens and R. Sepulchre. “Feedback identification of conductance-based models”. Provisionally accepted for publication at Automatica, April 2020. Available at https://arxiv.org/abs/2002.09626

Conference papers

T. Burghi, M. Schoukens and R. Sepulchre. “Feedback for Nonlinear System Identification”. Proceedings of the European Control Conference (ECC 2019) – June 2019, Naples, Italy.

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 17th 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.

 

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Revision 3
09 Mar 2018 - tbb29
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META TOPICPARENT name="ControlPeople"
Changed:
<
<

Thiago Burghi

>
>

Thiago Burghi

 

Background - Research - Publications

Line: 10 to 10
 

E-mail: tbb29 [at] cam.ac.uk

Changed:
<
<		 Thesis Title:
>
>		 Thesis Title: Input-output analysis and identification of excitable systems
 

Supervisor: Professor Rodolphe Sepulchre

Deleted:
<
<
 

Background

Added:
>
>		 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)

 

Research Interests

Added:
>
>		 Excitable systems; Nonlinear oscillations; Nonlinear system identification;
 

Publications

Added:
>
>		 Poster presentations
Burghi, T, Sepulchre, R. Transfer functions for excitable systems. United Kingdom Automatic Control Council (UKACC) PhD showcase 2017, at Birmingham - UK.

Proceedings
Burghi, T, Camino, J. F. Stability analysis of perturbed nonlinear systems applied to the tracking control of a wheeled mobile robot. 17th International Symposium on Dynamic Problems of Mechanics (Diname 2015), At Natal - Brazil.
 
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Revision 2
04 Oct 2017 - rff22
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META TOPICPARENT name="ControlPeople"

Thiago Burghi

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