James Anderson – publications

If you don't have access to a particular journal or would like a copy of a preprint that isn't posted, please drop me an email.

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“Compared to previous related works, this study appears to offer a significant degree of theoretical novelty. Therefore, The manuscript requires a major revision before it can be considered for publication.” – Reviewer 2 from one of our 2024 papers

2025

• Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
  D. Zhan, L. F. Toso, and J.Anderson

• Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities
  Y. Wu, B. Xu, and J. Anderson
  IEEE Power and Energy Society General Meeting

2024

• Federated Learning for Reinforcement Learning and Control
  H. Wang
  PhD Thesis, Columbia University

• Approximate Projections onto the Positive Semidefinite Cone Using Randomization
  M. Jones and J. Anderson

• Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
  B. D. Lee, L. F. Toso, T. T. C. K. Zhang, J. Anderson, and N. Matni
  Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence

• Clustering then Estimation of Spatio-Temporal Self-Exciting Processes
  H. Zhang, D. Zhan, J. Anderson, R. Righter, and Z. Zheng
  code
  Informs Journal on Computing

• Market Power and Withholding Behavior of Energy Storage Units
  Y. Wu, B. Xu, and J. Anderson
  Proceedings of the 63rd IEEE Conference on Decision and Control

• Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
  H. Wang, S. He, Z. Zhang, F. Miao, and J. Anderson
  Proceedings of The Forty-first International Conference on Machine Learning (ICML)

• Data-Efficient and Robust Task Selection for Meta-Learning
  D. Zhan and J. Anderson
  Conference on Computer Vision and Pattern Recognition (CVPR) 2024 workshop

• Asynchronous Heterogeneous Linear Quadratic Regulator Design
  L. F. Toso, H. Wang, and J. Anderson
  Proceedings of the 63nd IEEE Conference on Decision and Control

• Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR
  L. F. Toso, D. Zhan, J. Anderson, and H. Wang
  Proceedings of The 6th Annual Learning for Dynamics and Control Conference, PMLR
  best paper award

• Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
  C. Zhang, H. Wang, A. Mitra, and J. Anderson
  Proceedings of the Twelfth International Conference on Learning Representations (ICLR)

2023

• Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
  G. Lan, H. Wang, J. Anderson, C. Brinton, and V. Aggarwal
  Proceedings of the Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS)

• Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
  L. F. Toso, H. Wang, and J. Anderson
  Proceedings of the 2024 American Control Conference

• Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
  H. Wang, L. F. Toso, A. Mitra and J. Anderson

• Sample-efficient Linear Representation Learning from Non-IID Non-Isotropic Data
  T. T.C.K. Zhang, L. F. Toso, J. Anderson, and N. Matni
  Proceedings of the Twelfth International Conference on Learning Representations (ICLR)
  selected for a spotlight presentation

• Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method
  G. Morgenstern, J. Kim, J. Anderson, G. Zussman, and T. Routtenberg
  25th International Symposium on Stabilization, Safety, and Security of Distributed Systems

• Protection Against Graph-Based False Data Injection Attacks on Power Systems
  G. Morgenstern, J. Kim, J. Anderson, G. Zussman, and T. Routtenberg
  IEEE Transactions on Control of Network Systems

• Learning Personalized Models with Clustered System Identification
  L. F. Toso, H. Wang, and J. Anderson
  Proceedings of the 62nd IEEE Conference on Decision and Control

• Control for Societal-Scale Challenges Roadmap 2030
  A Alleyne, F Allgöwer, AD Ames, S Amin, J Anderson, et al.
  2022 IEEE CSS Workshop on Control for Societal-Scale Challenges

• Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
  H. Wang, A. Mitra, H. Hassani, G. Pappas, and J. Anderson
  Transactions on Machine Learning Research (TMLR)

• Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
  D. Zhan, Y. Dai, Y. Dong, J. He, Z. Wang, and J. Anderson
  Proceedings of the SIAM International Conference on Data Mining 2024

2022

• FedSysID: A Federated Approach to Sample-Efficient System Identification
  H. Wang, L. F. Toso, and J. Anderson
  Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR

• Mitigation-Aware Bidding Strategies in Electricity Markets
  Y. Wu, J. Kim, and J. Anderson
  IEEE Power and Energy Society General Meeting

• Distributionally Robust Decision Making Leveraging Conditional Distributions
  Y. Chen, J. Kim, and J. Anderson
  Proceedings of the 61st IEEE Conference on Decision and Control
  

• Identification of Intraday False Data Injection Attack on DER Dispatch Signals
  J. Kim, S. Bhela, J. Anderson, and G. Zussman
  Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids

• FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
  H. Wang, S. Marella, and J. Anderson
  Proceedings of the 61st IEEE Conference on Decision and Control

• Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees
  C. Amo Alonso, J. S. Li, N. Matni and J. Anderson
  IEEE Transactions on Control of Network Systems
  outstanding paper award

2021

• Learning Linear Models Using Distributed Iterative Hessian Sketching
  H. Wang and J. Anderson
  4th Annual Learning for Dynamics & Control Conference, Stanford, CA (will appear in PMLR)

• Distributed and Localized Model Predictive Control. Part I: Synthesis and Implementation
  C. Amo Alonso, J. S. Li, J. Anderson and N. Matni
  IEEE Transactions on Control of Network Systems

• Large-Scale System Identification Using a Randomized SVD
  H. Wang and J. Anderson
  Proceedings of the 2022 American Control Conference

• Robust Distributed and Localized Model Predictive Control
  C. Amo Alonso, J. S. Li, N. Matni, and J. Anderson
  

2020

• Synthesis to Deployment: Cyber-Physical Control Architectures
  S.-H. Tseng and J. Anderson
  

• Localized and Distributed H2 State Feedback Control
  J. Yu, Y.-S. Wang, and J. Anderson
  Proceedings of the 2021 American Control Conference

• Explicit Distributed and Localized Model Predictive Control via System Level Synthesis
  C. A. Alonso, N. Matni, and J. Anderson
  Proceedings of the 59th IEEE Conference on Decision and Control
  Video of the conference talk

2019

• Safety-Critical Control Synthesis for Network Systems with Control Barrier Functions and Assume-Guarantee Contracts
  Y. Chen, J. Anderson, K. Kalsi, A. Ames, and S.H. Low
  IEEE Transactions on Control of Network Systems

• Worst-Case Sensitivity of DC Optimal Power Flow Problems
  J. Anderson, F. Zhou, and S.H. Low
  Proceedings of the 2020 American Control Conference
  

• Deployment Architectures for Cyber-Physical Control Systems
  S.-H. Tseng and J. Anderson
  Proceedings of the 2020 American Control Conference

• The Optimal Power Flow Operator: Theory and Computation
  F. Zhou, J. Anderson, and S.H. Low
  IEEE Transactions on Control of Network Systems
  

• System Level Synthesis
  J. Anderson, J.C. Doyle, S.H. Low, and N. Matni
  Annual Reviews in Control, Vol. 47, pp. 365-393.
  Official Version

• System level Synthesis With State and Input Constraints
  Y. Chen and J. Anderson
  Proceedings of the the 58th IEEE Conference on Decision and Control.
  

• Sparsity Preserving Discretization With Error Bounds
  J. Anderson, N. Matni, and Y. Chen
  Proceedings of the 21st IFAC World Congress
  

2018

• Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts
  Y. Chen, J. Anderson, K. Kalsi, S.H. Low, and A. Ames
  Proceedings of the 2019 American Control Conference.
  

• Differential Privacy of Aggregated DC Optimal Power Flow Data
  F. Zhou and J. Anderson, and S.H. Low
  Proceedings of the 2019 American Control Conference.
  Best student paper finalist
  

• Structured Feedback Optimization for Metzler Dynamics
  J. Anderson and Riley Murray
  Proceedings of the the 2018 IEEE Conference on Decision and Control, Miami, Fl.
  

• Robust Control of Electric Vehicle Powertrains
  J. Buerger and J. Anderson
  Control Theory and Technology.
  

• Disaggregation for Networked Power Systems
  J. Anderson, F. Zhou, and S.H. Low
  Proceedings of the 2018 Power Systems Computation Conference (PSCC), Dublin, Ireland, 2018
  Official Version
  

2017

• Distance to the Nearest Stable Metzler Matrix
  J. Anderson
  Proceedings of the 2017 IEEE Conference on Decision and Control, Melbourne, Australia.
  slides
  

• Scalable System Level Synthesis for V irtually Localizable Systems
  N. Matni, Y.-S. Wang, and J. Anderson
  Proceedings of the 2017 IEEE Conference on Decision and Control, Melbourne, Australia.
  

• A System Level Synthesis: A tutorial
  J.C. Doyle, N. Matni, J. Anderson, and S.H. Low
  Proceedings of the 2017 IEEE Conference on Decision and Control, Melbourne, Australia.
  

• State Space Realizations for SLS Distributed Controllers
  J. Anderson and N. Matni
  Proceedings of the 55th Annual Allerton Conference.

• Projection-Based Model Reduction with Application to Stochastic Bio chemical Networks
  A. Sootla and J. Anderson
  IEEE Transactions on Automatic Control 62(11), pp.5554-5566, 2017.
  Official Version

• Delineating Parameter Unidentifiabilities in Complex Models
  D.V. Raman, J. Anderson, and A. Papachristodoulou
  Phys Rev E 95(3),032314, 2017.
  Official version

• Region of Attraction Estimation Using Invariant Sets and Rational Lyapunov Functions
  G. Valmorbida and J. Anderson
  Automatica, Vol. 75, pp. 37-45, 2017.
  Official version

2016

• On the Performance of Nonlinear Dynamical Systems Under Parameter Perturbation
  D.V. Raman, J. Anderson, and A. Papachristodoulou
  Automatica, Vol. 63, pp. 475-484, 2016.
  Official Version

• On Existence of Solutions to Structured Lyapunov Inequalities
  A. Sootla and J. Anderson
  Proceedings of the 2016 American Control Conference, Boston, MA, pp.7013-7018.
  Extended arXiv version

• A New Approach to Estimating the Robustness of Parameter Estimates to Measurement Noise
  D.V. Raman, J. Anderson, and A. Papachristodoulou
  Proceedings of the 2016 American Control Conference, Boston, MA, pp.1820-1825.

2015

• Designing Genetic Feedback Controllers
  A. Harris, J.A. Dolan, C.L. Kelly, J. Anderson, and A. Papachristodoulou
  IEEE Transactions on Biomedical Circuits and Systems, Vol. 9, Issue 4, pp. 475-484, 2015.

• Advances in Computational Lyapunov Analysis Using Sum-of-Squares Programming
  J. Anderson and A. Papachristodoulou
  Discrete and Continuous Dynamical Systems - Series B (DCDS-B), 20(8), pp. 2361-2381, 2015.
  Official

• Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems
  G. Valmorbida, D.V. Raman, and J. Anderson
  Proceedings of the 8th IFAC Symposium on Robust Control Design, Bratislava, Slovakia, pp.1-6.
  Official version

2014

• Decentralised H2 norm Estimation and Guaranteed Error Bounds Using Structured Gramians
  J. Anderson and A. Sootla
  Proceedings of the 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS),Groningen, The Netherlands, pp.258-265.
  preprint

• On Projection-Based Model Reduction of Biochemical Networks– Part II: The Stochastic Case
  A. Sootla and J. Anderson
  Proceedings of the 53rd IEEE Conference on Decision and Control

• On Projection-Based Model Reduction of Biochemical Networks– Part I: The Deterministic Case
  A. Sootla and J. Anderson
  Proceedings of the 53rd IEEE Conference on Decision and Control

• Region of Attraction Analysis via Invariant Sets
  G. Valmorbida and J. Anderson
  Proceedings of the 2014 American Control Conference, Portland, OR, pp. 3591-3596.
  Official Version

2013

• Tuning the Dials of Synthetic Biology
  J.A.J. Arpino, E.J. Hancock, J. Anderson, M. Barahona, G.-B. Stan, A. Papachristodoulou, and K. Polizzi
  Microbiology, 159(7), pp. 1236-1253, 2013.
  Official version

• Stability Analysis of Power Systems using Network Decomposition and Local Gain Analysis
  M. Anghel, J. Anderson, and A. Papachristodoulou
  Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), pp. 1-6.
  Official version

2012

• A Decomposition Technique for Nonlinear Dynamical System Analysis
  J. Anderson and A. Papachristodoulou
  IEEE Transactions on Automatic Control, 57(6), pp. 1516-1521, 2012.

• Robust Nonlinear Stability and Performance Analysis of an FA-18 Aircraft Model Using Sum of Squares Programming
  J. Anderson and A. Papachristodoulou
  International Journal of Robust and Nonlinear Control, 23(10), pp. 1099–1114, 2012.
  Official version

• Engineering and Ethical Perspectives in Synthetic Biology
  J. Anderson, N. Strelkowa, G.-B. Stan, T. Douglas, J. Savulescu, M. Barahona, and A. Papachristodoulou
  EMBO Reports, Vol. 13, pp. 584-590, 2012.
  preprint

• A Loop Shaping Approach for the Design of Biological Circuits
  J.A. Dolan, J. Anderson, and A. Papachristodoulou
  Proceedings of the 51st IEEE Conference on Decision and Control, Maui, HI, pp.3614-3619, 2012.

2011

• Model Decomposition and Reduction Tools for Large-Scale Networks in Systems Biology
  J. Anderson, Y.-C. Chang, and A. Papachristodoulou
  Automatica, 47(6), pp. 1165-1175, 2011.
  preprint

• Dynamical System Decomposition Using Dissipation Inequalities
  J. Anderson, A. Teixeira, H. Sandberg, and A. Papachristodoulou
  Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, FL, pp.211-216, 2011.

2010

• Dynamical System Decomposition for Efficient, Sparse Analysis
  J. Anderson and A. Papachristodoulou,
  Proceedings of the 49th IEEE Conference on Decision and Control, Atlanta GA, pp.6565-6570, 2010

• Structured Model Reduction for Dynamical Networked Systems.
  A. Papachristodoulou, Y.-C. Chang, and J. Anderson
  Proceedings of the 49th IEEE Conference on Decision and Control, Atlanta GA, pp. 2670-2675, 2010.

• Input-Output Systems Analysis Using Sum of Squares Programming: A Decomposition Approach.
  J. Anderson and A. Papachristodoulou
  Proceedings of he 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Budapest, Hungary, pp.107-113, 2010.

• A Network Decomposition Approach for Efficient Sum-of-Squares Programming Based Analysis
  J. Anderson and A. Papachristodoulou
  Proceedings of the 2010 American Control Conference, Baltimore MD, pp. 4492-4497.

2009

• On Validation and Invalidation of Biological Models
  J. Anderson and A. Papachristodoulou
  BMC Bioinformatics, 10:132, 2009.
  pdf

• A Decomposition-Synchronization Scheme for Formulating and Solving Optimization Problems
  J. Anderson and A. Papachristodoulou
  Proceedings of the 1st IFAC workshop on distributed estimation and control in networked systems (NECSys),Venice, Italy, pp.96-101, 2009.

2007

• Search Space Pruning and Global Optimization of Multiple Gravity Assist Trajectories With Deep Space Manoeuvres
  V.M. Becerra, S.J. Nasuto, J. Anderson, M. Ceriotti, and C. Bombardelli
  2007 IEEE Congress on Evolutionary Computation, Singapore, pp. 957-964.

• Global trajectory optimisation: Can we prune the solution space when considering deep space manoeuvres?
  M. Vasile, M. Ceriotti, V.M. Becerra, S.J. Nasuto, and J. Anderson
  Final Report, Ariadna id: 064101, Contract no: 2027306NLHE, European Space Agency, Noordwijk, The Netherlands