James Anderson

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 64

Top Topics

Function Approximation

Biochemical Networks

Conditional Distributions

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. ICLR (2024)
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. 2024 (2024)
Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang
Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. L4DC (2024)
Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. CoRR (2024)
Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM (2024)
Donglin Zhan, James Anderson
Data-Efficient and Robust Task Selection for Meta-Learning. CoRR (2024)
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR (2024)
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. CoRR (2024)
Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. ICLR (2024)
Gal Morgenstern, Jip Kim, James Anderson, Gil Zussman, Tirza Routtenberg
Protection Against Graph-Based False Data Injection Attacks on Power Systems. CoRR (2023)
Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni
Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. IEEE Trans. Control. Netw. Syst. 10 (2) (2023)
Leonardo F. Toso, Han Wang, James Anderson
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. CoRR (2023)
Gal Morgenstern, Lital Dabush, Jip Kim, James Anderson, Gil Zussman, Tirza Routtenberg
Invited Paper: Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method. SSS (2023)
Thomas T. C. K. Zhang, Leonardo F. Toso, James Anderson, Nikolai Matni
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. CoRR (2023)
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR (2023)
Leonardo F. Toso, Han Wang, James Anderson
Learning Personalized Models with Clustered System Identification. CoRR (2023)
Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman
Identification of Intraday False Data Injection Attack on DER Dispatch Signals. CoRR (2022)
Yiqian Wu, Jip Kim, James Anderson
Mitigation-Aware Bidding Strategies in Electricity Markets. CoRR (2022)
Yuxiao Chen, Jip Kim, James Anderson
Distributionally Robust Decision Making Leveraging Conditional Distributions. CoRR (2022)
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR (2022)
Han Wang, Leonardo F. Toso, James Anderson
FedSysID: A Federated Approach to Sample-Efficient System Identification. CoRR (2022)
Yuxiao Chen, Jip Kim, James Anderson
Distributionally Robust Decision Making Leveraging Conditional Distributions. CDC (2022)
Han Wang, James Anderson
Learning Linear Models Using Distributed Iterative Hessian Sketching. L4DC (2022)
Han Wang, Siddartha Marella, James Anderson
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation. CoRR (2022)
Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman
Identification of Intraday False Data Injection Attack on DER Dispatch Signals. SmartGridComm (2022)
Han Wang, Siddartha Marella, James Anderson
FedADMM: A federated primal-dual algorithm allowing partial participation. CDC (2022)
Han Wang, James Anderson
Large-Scale System Identification Using a Randomized SVD. ACC (2022)
Jing Yu, Yuh-Shyang Wang, James Anderson
State Feedback Control. ACC (2021)
Yuxiao Chen, James Anderson, Karanjit Kalsi, Aaron D. Ames, Steven H. Low
Safety-Critical Control Synthesis for Network Systems With Control Barrier Functions and Assume-Guarantee Contracts. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
Han Wang, James Anderson
Learning Linear Models Using Distributed Iterative Hessian Sketching. CoRR (2021)
Fengyu Zhou, James Anderson, Steven H. Low
The Optimal Power Flow Operator: Theory and Computation. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Han Wang, James Anderson
Large-Scale System Identification Using a Randomized SVD. CoRR (2021)
Jing Yu, Yuh-Shyang Wang, James Anderson
Localized and Distributed H2 State Feedback Control. CoRR (2020)
Shih-Hao Tseng, James Anderson
Deployment Architectures for Cyber-Physical Control Systems. ACC (2020)
Shih-Hao Tseng, James Anderson
Synthesis to Deployment: Cyber-Physical Control Architectures. CoRR (2020)
Carmen Amo Alonso, Nikolai Matni, James Anderson
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CDC (2020)
James Anderson, Fengyu Zhou, Steven H. Low
Worst-Case Sensitivity of DC Optimal Power Flow Problems. ACC (2020)
James Anderson, Fengyu Zhou, Steven H. Low
Worst-Case Sensitivity of DC Optimal Power Flow Problems. CoRR (2020)
Carmen Amo Alonso, Nikolai Matni, James Anderson
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR (2020)
Yuxiao Chen, James Anderson, Karan Kalsi, Aaron D. Ames, Steven H. Low
Safety-Critical Control Synthesis for network systems with Control Barrier Functions and Assume-Guarantee Contracts. CoRR (2019)
Fengyu Zhou, James Anderson, Steven H. Low
The Optimal Power Flow Operator: Theory and Computation. CoRR (2019)
Shih-Hao Tseng, James Anderson
Deployment Architectures for Cyber-Physical Control Systems. CoRR (2019)
Yuxiao Chen, James Anderson, Karan Kalsi, Steven H. Low, Aaron D. Ames
Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. ACC (2019)
Fengyu Zhou, James Anderson, Steven H. Low
Differential Privacy of Aggregated DC Optimal Power Flow Data. ACC (2019)
Fengyu Zhou, James Anderson, Steven H. Low
Differential Privacy of Aggregated DC Optimal Power Flow Data. CoRR (2019)
James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
System Level Synthesis. CoRR (2019)
Yuxiao Chen, James Anderson
System Level Synthesis with State and Input Constraints. CDC (2019)
James Anderson, Nikolai Matni, Yuxiao Chen
Sparsity Preserving Discretization With Error Bounds. CoRR (2019)
Yuxiao Chen, James Anderson
System Level Synthesis with State and Input Constraints. CoRR (2019)
James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
System level synthesis. Annu. Rev. Control. 47 (2019)
Yuxiao Chen, James Anderson, Karan Kalsi, Steven H. Low, Aaron D. Ames
Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. CoRR (2018)
John C. Doyle, Nikolai Matni, Yuh Shyang Wang, James Anderson, Steven H. Low
System level synthesis: A tutorial. CDC (2017)
James Anderson
Distance to the nearest stable Metzler matrix. CDC (2017)
Nikolai Matni, Yuh-Shyang Wang, James Anderson
Scalable system level synthesis for virtually localizable systems. CDC (2017)
James Anderson
Distance to the Nearest Stable Metzler Matrix. CoRR (2017)
James Anderson, Nikolai Matni
Structured state space realizations for SLS distributed controllers. Allerton (2017)
Giorgio Valmorbida, James Anderson
Region of attraction estimation using invariant sets and rational Lyapunov functions. Autom. 75 (2017)
Aivar Sootla, James Anderson
Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks. IEEE Trans. Autom. Control. 62 (11) (2017)
Dhruva V. Raman, James Anderson, Antonis Papachristodoulou
On the performance of nonlinear dynamical systems under parameter perturbation. Autom. 63 (2016)
Aivar Sootla, James Anderson
On Existence of Solutions to Structured Lyapunov Inequalities. CoRR (2016)
Dhruva V. Raman, James Anderson, Antonis Papachristodoulou
A new approach for estimating the robustness of parameter estimates to measurement noise. ACC (2016)
Giorgio Valmorbida, James Anderson
Region of Attraction Estimation Using Invariant Sets and Rational Lyapunov Functions. CoRR (2016)
Aivar Sootla, James Anderson
On existence of solutions to structured lyapunov inequalities. ACC (2016)
Aivar Sootla, James Anderson
Structured Projection-Based Model Reduction with Application to Stochastic Biochemical Networks. CoRR (2015)
Giorgio Valmorbida, Dhruva V. Raman, James Anderson
Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems. CoRR (2015)
Andreas W. K. Harris, James Dolan, Ciaran L. Kelly, James Anderson, Antonis Papachristodoulou
Designing Genetic Feedback Controllers. IEEE Trans. Biomed. Circuits Syst. 9 (4) (2015)
Giorgio Valmorbida, James Anderson
Region of attraction analysis via invariant sets. ACC (2014)
Aivar Sootla, James Anderson
On projection-based model reduction of biochemical networks part II: The stochastic case. CDC (2014)
Aivar Sootla, James Anderson
On Projection-Based Model Reduction of Biochemical Networks- Part II: The Stochastic Case. CoRR (2014)
Aivar Sootla, James Anderson
On projection-based model reduction of biochemical networks part I: The deterministic case. CDC (2014)
Aivar Sootla, James Anderson
On Projection-Based Model Reduction of Biochemical Networks- Part I: The Deterministic Case. CoRR (2014)
Antonis Papachristodoulou, James Anderson, Giorgio Valmorbida, Stephen Prajna, Pete Seiler, Pablo A. Parrilo
SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB. CoRR (2013)
James Anderson, Antonis Papachristodoulou
A Decomposition Technique for Nonlinear Dynamical System Analysis. IEEE Trans. Autom. Control. 57 (6) (2012)
James Dolan, James Anderson, Antonis Papachristodoulou
A loop shaping approach for designing biological circuits. CDC (2012)
James Anderson, Yo-Cheng Chang, Antonis Papachristodoulou
Model decomposition and reduction tools for large-scale networks in systems biology. Autom. 47 (6) (2011)
James Anderson, André Teixeira, Henrik Sandberg, Antonis Papachristodoulou
Dynamical system decomposition using dissipation inequalities. CDC/ECC (2011)
Antonis Papachristodoulou, Yo-Cheng Chang, Elias August, James Anderson
Structured model reduction for dynamical networked systems. CDC (2010)
James Anderson, Antonis Papachristodoulou
Dynamical system decomposition for efficient, sparse analysis. CDC (2010)
James Anderson, Antonis Papachristodoulou
A network decomposition approach for efficient sum of squares programming based analysis. ACC (2010)
James Anderson, Antonis Papachristodoulou
On validation and invalidation of biological models. BMC Bioinform. 10 (2009)