Publications

Papers

2019

• Bacteriophages dynamically modulate the gut microbiota and metabolome
  B.B. Hsu, T.E. Gibson, V. Yeliseyev, Q. Liu, L. Bry, P.A. Silver, G.K. Gerber
  (in-press), 2019

• Provably Correct Learning Algorithms in the Presence of Time-Varying Features Using a Variational Perspective
  J.E. Gaudio, T.E. Gibson, A.M. Annaswamy, and M.A. Bolender
  arXiv, 2019

• Connections Between Adaptive Control and Optimization in Machine Learning
  J.E. Gaudio, T.E. Gibson, A.M. Annaswamy, M.A. Bolender, and E.Lavretsky
  arXiv, 2019

2018

• Robust and Scalable Models of Microbiome Dynamics
  T.E. Gibson and G.K. Gerber
  International Conference on Machine Learning (ICML), 2018

• Inducible Cooperation in a Synthetic Gut Bacterial Consortium Introduces Population Balance and Stability
  M.Ziesack, T.E. Gibson, … G.K. Gerber
  biRxiv, 2018

• A multi-level Bayesian nonparametric model of longitudinal responses of the human microbiota to dietary interventions
  R. Creswell, M.K. Gibson, T.E. Gibson, J.W. Leff, and G.K. Gerber
  Workshop on Computational Biology at ICML, 2018

• Convergence Properties of Adaptive Systems and the Definition of Exponential Stability
  B.M. Jenkins, A.M. Annaswamy, E. Lavretsky, and T.E. Gibson
  SIAM Journal on Control and Optimization, 2018

2017

• Robust and Scalable Models of Microbiome Dynamics for Bacteriotherapy Design
  T.E. Gibson and G.K. Gerber
  Workshop on Machine Learning in Computational Biology at NIPS, 2017 [slides]

• On the Stability Landscape of the Human Gut Microbiome: Implications for Microbiome-based Therapies
  T.E. Gibson et al.
  bioRxiv, 2017

• Inferring human microbial dynamics from temporal metagenomics data: Pitfalls and lessons
  H.-T. Cao, T.E. Gibson, A. Bashan, and Y.-Y. Liu
  Bioessays, 2017

2016

• Universality of human microbial dynamics
  A. Bashan, T.E. Gibson, J. Friedman, V.J. Carey, S.T. Weiss, E.L. Hohmann and Y.-Y. Liu
  Nature, 2016
  [News and Views Nature] [Research Highlight Nature Physics]

• Controllability analysis of the directed protein-protein interaction network identifies human disease genes
  V. Arunachalam, T.E. Gibson, et al.
  Proceedings of the National Academy of Sciences, 2016

• Adaptation and Synchronization over a Network: Asymptotic Error Convergence and Pinning
  T.E. Gibson
  Conference on Decision and Control, 2016 [slides]

• Adaptation and Synchronization over a Network: Stabilization without a Reference Model
  T.E. Gibson
  Conference on Decision and Control, 2016 [slides]

• Impacts of network topology on the performance of a Distributed Algorithm Solving Linear Equations
  H.-T. Cao, T.E. Gibson, S. Mou, and Y.-Y. Liu
  Conference on Decision and Control, 2016

• Opportunities for Systems and Control in the Human Microbiome
  T.E. Gibson
  American Control Conference, 2016

• On the Origins and Control of Community Types in the Human Microbiome
  T.E. Gibson, et al.
  PLoS Computational Biology, 2016 [supplement]

• Longitudinal Prediction of the Infant Gut Microbiome with Dynamic Bayesian Networks
  M.J. McGeachie et al.
  Scientific Reports, 2016

2015

• Adaptive Output Feedback Based on Closed-Loop Reference Models
  T.E. Gibson, Z. Qu, A.M. Annaswamy, E. Lavretsky
  IEEE Transactions on Automatic Control, 2015

• Robust and Adaptive Control Technologies for Flight Critical Systems
  T.E. Gibson and E. Lavretsky
  17th Yale Workshop on Adaptive and Learning Systems, New Haven Connecticut, 2015

• Learning and Consensus in Adaptive and Networked Systems
  T.E. Gibson and A.M. Annaswamy
  17th Yale Workshop on Adaptive and Learning Systems, New Haven Connecticut, 2015

• Adaptive Control and the Definition of Exponential Stability
  T.E. Gibson and A.M. Annaswamy
  American Control Conference, 2015 [slides]

• Sign Stability via Root Locus Analysis
  T.E. Gibson
  arXiv, 2015

2013

• On Adaptive Control with Closed-loop Reference Models: Transients, Oscillations, and Peaking
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  IEEE ACCESS, 2013

• Practical Adaptive Control
  A.M. Annaswamy, T.E. Gibson H.S. Hussain and E. Lavretsky
  16th Yale Workshop on Adaptive and Learning Systems, 2013

• Closed-Loop Reference Models in Adaptive Control: Composite Control and Observer Feedback
  T.E. Gibson A.M. Annaswamy, and E. Lavretsky
  11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

• Uniform Asymptotic Stability and Slow Convergence in Adaptive Systems
  B.M. Jenkins, T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

• Closed-loop reference models for output-feedback adaptive systems
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  European Control Conference, 2013

• Adaptive systems with closed-loop reference-models, part I: Transient performance
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  American Control Conference, 2013

• Accuracy, Smoothness, and Speed in Adaptive Systems with Closed-loop Reference Models
  B.M. Jenkins, T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  AIAA Guidance Navigation and Control Conference, 2013

2012

• Recent Results in Robust Adaptive Flight Control,
  A.M. Annaswamy, E. Lavretsky, Z.T. Dydek, T.E. Gibson and M. Matsutani,
  International Journal of Adaptive Control and Signal Processing, 2012

• Adaptive Systems with Closed-loop Reference Models: Stability, Robustness and Performance
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  arXiv, 2012

• Improved Transient Response in Adaptive Control Using Projection Algorithms and Closed Loop Reference Models
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  AIAA Guidance Navigation and Control Conference, 2012

2011

• Projection Operator in Adaptive Systems
  E. Lavretsky, T.E. Gibson and A.M. Annaswamy,
  arXiv, 2011

• Modeling for Control of Very Flexible Aircraft
  T.E. Gibson, A.M. Annaswamy, and E. Lavretsky
  AIAA Guidance Navigation and Control Conference, 2011

• Simulation and Adaptive Control of a High Agility Model Airplane in the Presence of Severe Structural Damage and Failures,
  S. Baur, T. Gibson, A. Annaswamy, L. Hoecht, and F. Holzapfel
  AIAA Guidance, Navigation and Controls Conference, 2011

• Trustable Autonomous Systems Using Adaptive Control
  A.M. Annnaswamy, M. Matsutani, T.E. Gibson and E. Lavretsky
  15th Yale Workshop on Adaptive and Learning Systems, 2011

• Adaptive Control of a High Agility Model Airplane in the Presence of Severe Structural Damage and Failure
  S. Baur, T. Gibson, A. Annaswamy, L. Hoecht, T. Bierling and F. Holzapfel
  Council of European Aerospace Societies EuroGNC, 2011

2008-2010

• Internal Algorithm Monitor for Adaptive Systems
  T.E. Gibson, M. Matsutani, L.G. Crespo and A.M. Annaswamy
  AIAA Infotech Aerospace Conference, 2010

• Design and Verification of an Adaptive Controller for the Generic Transport Model
  L.G. Crespo, M. Matsutani, J. Jang, T.E. Gibson and A.M. Annaswamy
  AIAA Guidance Navigation and Control Conference, 2009.

• An Adaptive Control Technology for Safety of a GTM-like Aircraft
  M. Matsutani, T.E. Gibson, J. Jang, L. G. Crespo, and A.M. Annaswamy
  American Control Conference, 2009

• Adaptive control of hypersonic vehicles in the presence of modeling uncertainties
  T.E. Gibson, L.G. Crespo, and A.M. Annaswamy
  American Control Conference, 2009

• Fretting on the Cubic Face of a Single-Crystal Ni-base Superalloy at Room Temperature
  X. Huang, T.E. Gibson, M. Zhang, and R.W. Neu,
  Tribology International, 2009

• Adaptive control of hypersonic vehicles in the presence of thrust and actuator uncertainties
  T.E. Gibson and A.M. Annaswamy
  AIAA Guidance Navigation and Control Conference, 2008

Thesis

• Closed-loop Reference Model Adaptive Control: with Application to Very Flexible Aircraft
  T.E. Gibson
  PhD Thesis, Massachusetts Institute of Technology, 2014