Jing Shuang Li

28 papers C 2Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Associative Memory System via Threshold Linear Networks.
CoRR
Qin He, Jing Shuang Li
2026 J jnl
Firing Rate Neural Network Implementations of Model Predictive Control.
CoRR
Jaidev Gill, Jing Shuang Li
2026 J jnl
Sparse State-Space Realizations of Linear Controllers.
CoRR
Yaozhi Du, Jing Shuang Li
2025 J jnl
Identifying Network Structure of Linear Dynamical Systems: Observability and Edge Misclassification.
CoRR
Jaidev Gill, Jing Shuang Li
2025 J jnl
Identifying Network Structure of Nonlinear Dynamical Systems: Contraction and Kuramoto Oscillators.
CoRR
Jaidev Gill, Jing Shuang Li
2025 J jnl
The Path Integral Bottleneck: Exploring the Control-Compute Tradeoff.
CoRR
Justin Ting, Jing Shuang Li
2024 J jnl
Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise.
CoRR
Riley Bridges, Ethan Parham, Jing Shuang Li
2024 J jnl
Human Balancing on a Log: A Switched Multi-Layer Controller.
CoRR
Jiayi Zhao, Mo Yang, Jing Shuang Li
2024 J jnl
State Feedback System Level Synthesis in Continuous Time.
CoRR
Yaozhi Du, Jing Shuang Li
2024 J jnl
Toward Neuronal Implementations of Delayed Optimal Control.
CoRR
Jing Shuang Li
2024 J jnl
Two-Layer Attention Optimization for Bimanual Coordination.
CoRR
Justin Ting, Jing Shuang Li
2023 J jnl
A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback.
CoRR
Antoine Aspeel, Jakob Nylöf, Jing Shuang Li, Necmiye Ozay
2023 J jnl
A Low-Rank Approach to Minimize Sensor-to-Actuator Communication in Finite-Horizon Output Feedback.
IEEE Control. Syst. Lett.
Antoine Aspeel, Jakob Nylöf, Jing Shuang Li, Necmiye Ozay
2023 J jnl
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees.
IEEE Trans. Control. Netw. Syst.
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2023 J jnl
Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation.
IEEE Trans. Control. Netw. Syst.
Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni
2023 C conf
Flux exponent control predicts metabolic dynamics from network structure.
ACC
Fangzhou Xiao, Jing Shuang Li, John C. Doyle
2023 J jnl
Global Performance Guarantees for Localized Model Predictive Control.
CoRR
Jing Shuang Li, Carmen Amo Alonso
2022 J jnl
Distributed Robust Control for Systems with Structured Uncertainties.
CoRR
Jing Shuang Li, John C. Doyle
2022 J jnl
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees.
CoRR
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2022 J jnl
Why internal feedback is necessary in the perception-action loop.
CoRR
Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, John C. Doyle
2021 J jnl
Descending Predictive Feedback: From Optimal Control to the Sensorimotor System.
CoRR
Jing Shuang Li, Anish A. Sarma, John C. Doyle
2021 C conf
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond.
ACC
Jing Shuang Li, Carmen Amo Alonso, John C. Doyle
2021 J jnl
Internal Feedback in Biological Control: Constraints and Layered Architectures.
CoRR
Anish A. Sarma, Jing Shuang Li, Josefin Stenberg, John C. Doyle
2021 J jnl
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory.
CoRR
Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle
2021 J jnl
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 2: System Level Synthesis and Architecture.
CoRR
Jing Shuang Li, John C. Doyle
2020 J jnl
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control.
CoRR
Jing Shuang Li, Carmen Amo Alonso, John C. Doyle
2020 J jnl
SLSpy: Python-Based System-Level Controller Synthesis Framework.
CoRR
Shih-Hao Tseng, Jing Shuang Li
2020 J jnl
Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis.
CoRR
Jing Shuang Li, Dimitar Ho