On validation and invalidation of biological models. - James Anderson 001; Antonis Papachristodoulou (BMC Bioinform., 2009)

A network decomposition approach for efficient sum of squares programming based analysis. - James Anderson 001; Antonis Papachristodoulou (ACC, 2010)

Dynamical system decomposition for efficient, sparse analysis. - James Anderson 001; Antonis Papachristodoulou (CDC, 2010)

Structured model reduction for dynamical networked systems. - Antonis Papachristodoulou; Yo-Cheng Chang; Elias August; James Anderson 001 (CDC, 2010)

Dynamical system decomposition using dissipation inequalities. - James Anderson 001; André Teixeira 001; Henrik Sandberg; Antonis Papachristodoulou (CDC/ECC, 2011)

Model decomposition and reduction tools for large-scale networks in systems biology. - James Anderson 001; Yo-Cheng Chang; Antonis Papachristodoulou (Autom., 2011)

A loop shaping approach for designing biological circuits. - James Dolan; James Anderson 001; Antonis Papachristodoulou (CDC, 2012)

A Decomposition Technique for Nonlinear Dynamical System Analysis. - James Anderson 001; Antonis Papachristodoulou (IEEE Trans. Autom. Control., 2012)

SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB. - Antonis Papachristodoulou; James Anderson 001; Giorgio Valmorbida; Stephen Prajna; Pete Seiler 001; Pablo A. Parrilo (CoRR, 2013)

Region of attraction analysis via invariant sets. - Giorgio Valmorbida; James Anderson 001 (ACC, 2014)

On projection-based model reduction of biochemical networks part I: The deterministic case. - Aivar Sootla; James Anderson 001 (CDC, 2014)

On projection-based model reduction of biochemical networks part II: The stochastic case. - Aivar Sootla; James Anderson 001 (CDC, 2014)

Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems. - Giorgio Valmorbida; Dhruva V. Raman; James Anderson 001 (CoRR, 2015)

Designing Genetic Feedback Controllers. - Andreas W. K. Harris; James Dolan; Ciaran L. Kelly; James Anderson 001; Antonis Papachristodoulou (IEEE Trans. Biomed. Circuits Syst., 2015)

A new approach for estimating the robustness of parameter estimates to measurement noise. - Dhruva V. Raman; James Anderson 001; Antonis Papachristodoulou (ACC, 2016)

On existence of solutions to structured lyapunov inequalities. - Aivar Sootla; James Anderson 001 (ACC, 2016)

On the performance of nonlinear dynamical systems under parameter perturbation. - Dhruva V. Raman; James Anderson 001; Antonis Papachristodoulou (Autom., 2016)

Structured state space realizations for SLS distributed controllers. - James Anderson 001; Nikolai Matni (Allerton, 2017)

Distance to the nearest stable Metzler matrix. - James Anderson 001 (CDC, 2017)

System level synthesis: A tutorial. - John C. Doyle 001; Nikolai Matni; Yuh Shyang Wang; James Anderson 001; Steven H. Low (CDC, 2017)

Scalable system level synthesis for virtually localizable systems. - Nikolai Matni; Yuh-Shyang Wang; James Anderson 001 (CDC, 2017)

Region of attraction estimation using invariant sets and rational Lyapunov functions. - Giorgio Valmorbida; James Anderson 001 (Autom., 2017)

Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks. - Aivar Sootla; James Anderson 001 (IEEE Trans. Autom. Control., 2017)

Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. - Yuxiao Chen 001; James Anderson 001; Karan Kalsi; Steven H. Low; Aaron D. Ames (ACC, 2019)

Differential Privacy of Aggregated DC Optimal Power Flow Data. - Fengyu Zhou; James Anderson 001; Steven H. Low (ACC, 2019)

System Level Synthesis with State and Input Constraints. - Yuxiao Chen 001; James Anderson 001 (CDC, 2019)

System level synthesis. - James Anderson 001; John C. Doyle 001; Steven H. Low; Nikolai Matni (Annu. Rev. Control., 2019)

Sparsity Preserving Discretization With Error Bounds. - James Anderson 001; Nikolai Matni; Yuxiao Chen 001 (CoRR, 2019)

Worst-Case Sensitivity of DC Optimal Power Flow Problems. - James Anderson 001; Fengyu Zhou; Steven H. Low (ACC, 2020)

Deployment Architectures for Cyber-Physical Control Systems. - Shih-Hao Tseng; James Anderson 001 (ACC, 2020)

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. - Carmen Amo Alonso; Nikolai Matni; James Anderson 001 (CDC, 2020)

Localized and Distributed H2 State Feedback Control. - Jing Yu 010; Yuh-Shyang Wang; James Anderson 001 (CoRR, 2020)

Synthesis to Deployment: Cyber-Physical Control Architectures. - Shih-Hao Tseng; James Anderson 001 (CoRR, 2020)

Localized and Distributed H2 State Feedback Control. - Jing Yu 010; Yuh-Shyang Wang; James Anderson 001 (ACC, 2021)

Safety-Critical Control Synthesis for Network Systems With Control Barrier Functions and Assume-Guarantee Contracts. - Yuxiao Chen 001; James Anderson 001; Karanjit Kalsi; Aaron D. Ames; Steven H. Low (IEEE Trans. Control. Netw. Syst., 2021)

The Optimal Power Flow Operator: Theory and Computation. - Fengyu Zhou; James Anderson 001; Steven H. Low (IEEE Trans. Control. Netw. Syst., 2021)

Large-Scale System Identification Using a Randomized SVD. - Han Wang 016; James Anderson 001 (ACC, 2022)

Distributionally Robust Decision Making Leveraging Conditional Distributions. - Yuxiao Chen 008; Jip Kim; James Anderson 001 (CDC, 2022)

FedADMM: A federated primal-dual algorithm allowing partial participation. - Han Wang 016; Siddartha Marella; James Anderson 001 (CDC, 2022)

Learning Linear Models Using Distributed Iterative Hessian Sketching. - Han Wang 016; James Anderson 001 (L4DC, 2022)

Identification of Intraday False Data Injection Attack on DER Dispatch Signals. - Jip Kim; Siddharth Bhela; James Anderson 001; Gil Zussman (SmartGridComm, 2022)

Mitigation-Aware Bidding Strategies in Electricity Markets. - Yiqian Wu; Jip Kim; James Anderson 001 (CoRR, 2022)

Learning Personalized Models with Clustered System Identification. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (CDC, 2023)

FedSysID: A Federated Approach to Sample-Efficient System Identification. - Han Wang 016; Leonardo Felipe Toso; James Anderson 001 (L4DC, 2023)

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. - Guangchen Lan; Han Wang 016; James Anderson 001; Christopher G. Brinton; Vaneet Aggarwal (NeurIPS, 2023)

Invited Paper: Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method. - Gal Morgenstern; Lital Dabush; Jip Kim; James Anderson 001; Gil Zussman; Tirza Routtenberg (SSS, 2023)

Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. - Han Wang 016; Aritra Mitra; Hamed Hassani; George J. Pappas; James Anderson 001 (CoRR, 2023)

Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. - Thomas T. C. K. Zhang; Leonardo Felipe Toso; James Anderson 001; Nikolai Matni (CoRR, 2023)

Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. - Carmen Amo Alonso; Jing Shuang Li; James Anderson 001; Nikolai Matni (IEEE Trans. Control. Netw. Syst., 2023)

Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. - Carmen Amo Alonso; Jing Shuang Li; Nikolai Matni; James Anderson 001 (IEEE Trans. Control. Netw. Syst., 2023)

Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (ACC, 2024)

Asynchronous Heterogeneous Linear Quadratic Regulator Design. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (CDC, 2024)

Market Power and Withholding Behavior of Energy Storage Units. - Yiqian Wu; Bolun Xu; James Anderson 001 (CDC, 2024)

Data-Efficient and Robust Task Selection for Meta-Learning. - Donglin Zhan; James Anderson 001 (CVPR Workshops, 2024)

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. - Chenyu Zhang 002; Han Wang 016; Aritra Mitra; James Anderson 001 (ICLR, 2024)

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. - Thomas T. C. K. Zhang; Leonardo Felipe Toso; James Anderson 001; Nikolai Matni (ICLR, 2024)

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. - Han Wang 016; Sihong He; Zhili Zhang; Fei Miao; James Anderson 001 (ICML, 2024)

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. - Leonardo Felipe Toso; Donglin Zhan; James Anderson 001; Han Wang 016 (L4DC, 2024)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. - Donglin Zhan; Yusheng Dai; Yiwei Dong; Jinghai He; Zhenyi Wang 001; James Anderson 001 (SDM, 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. C. K. Zhang; James Anderson 001; Nikolai Matni (CoRR, 2024)

Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. - Han Wang 016; Aritra Mitra; Hamed Hassani; George J. Pappas; James Anderson 001 (Trans. Mach. Learn. Res., 2024)

Protection Against Graph-Based False Data Injection Attacks on Power Systems. - Gal Morgenstern; Jip Kim; James Anderson 001; Gil Zussman; Tirza Routtenberg (IEEE Trans. Control. Netw. Syst., 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. Zhang; James Anderson 001; Nikolai Matni (AAAI, 2025)

Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes. - Haoting Zhang; Donglin Zhan; James Anderson 001; Rhonda Righter; Zeyu Zheng (INFORMS J. Comput., 2025)

Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities. - Yiqian Wu; Bolun Xu; James Anderson 001 (CoRR, 2025)

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning. - Donglin Zhan; Leonardo F. Toso; James Anderson 001 (CoRR, 2025)

Distributed, Sustainable, and Secure Energy Future Through IT Modernization. - Diman Zad Tootaghaj; Yiqian Wu; Ting He 001; Nilanjan Ray Chaudhuri; Dejan S. Milojicic; Luka V. Strezoski; James Anderson 001; Puneet Sharma (Computer, 2025)

Collaborative Bayesian Optimization via Wasserstein Barycenters. - Donglin Zhan; Haoting Zhang; Rhonda Righter; Zeyu Zheng; James Anderson 001 (CoRR, 2025)

Learning Stabilizing Policies via an Unstable Subspace Representation. - Leonardo F. Toso; Lintao Ye; James Anderson 001 (CoRR, 2025)

A Decision-Focused Predict-then-Bid Framework for Strategic Energy Storage. - Ming Yi; Yiqian Wu; Saud Alghumayjan; James Anderson 001; Bolun Xu (CoRR, 2025)

On the Gradient Domination of the LQG Problem. - Kasra Fallah; Leonardo F. Toso; James Anderson 001 (CoRR, 2025)