Jing Shuang Li

Orcid: 0000-0003-4931-8709

According to our database1, Jing Shuang Li authored at least 31 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Evolutionary Algorithm for Actuator-Sensor-Communication Co-Design in Distributed Control.
CoRR, April, 2026

Associative Memory System via Threshold Linear Networks.
CoRR, March, 2026

Sparse State-Space Realizations of Linear Controllers.
CoRR, March, 2026

Firing Rate Neural Network Implementations of Model Predictive Control.
CoRR, March, 2026

2025
Identifying Network Structure of Linear Dynamical Systems: Observability and Edge Misclassification.
CoRR, September, 2025

Identifying Network Structure of Nonlinear Dynamical Systems: Contraction and Kuramoto Oscillators.
CoRR, September, 2025

The Path Integral Bottleneck: Exploring the Control-Compute Tradeoff.
CoRR, May, 2025

Human Balancing on a Log: A Switched Multi-Layer Controller.
Proceedings of the 2025 American Control Conference, 2025

Two-Layer Attention Optimization for Bimanual Coordination.
Proceedings of the 2025 American Control Conference, 2025

Toward Neuronal Implementations of Delayed Optimal Control.
Proceedings of the 2025 American Control Conference, 2025

2024
State Feedback System Level Synthesis in Continuous Time.
CoRR, 2024

Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise.
CoRR, 2024

2023
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees.
IEEE Trans. Control. Netw. Syst., September, 2023

Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation.
IEEE Trans. Control. Netw. Syst., June, 2023

A Low-Rank Approach to Minimize Sensor-to-Actuator Communication in Finite-Horizon Output Feedback.
IEEE Control. Syst. Lett., 2023

Global Performance Guarantees for Localized Model Predictive Control.
CoRR, 2023

Flux exponent control predicts metabolic dynamics from network structure.
Proceedings of the American Control Conference, 2023

2022
Why internal feedback is necessary in the perception-action loop.
CoRR, 2022

Distributed Robust Control for Systems with Structured Uncertainties.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Nonlinear System Level Synthesis for Polynomial Dynamical Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory.
Proceedings of the American Control Conference, 2022

Internal Feedback in Biological Control: Architectures and Examples.
Proceedings of the American Control Conference, 2022

Internal Feedback in Biological Control: Locality and System Level Synthesis.
Proceedings of the American Control Conference, 2022

2021
Internal Feedback in Biological Control: Constraints and Layered Architectures.
CoRR, 2021

Locality, Delays, and Internal Feedback in Sensorimotor Control Part 2: System Level Synthesis and Architecture.
CoRR, 2021

Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory.
CoRR, 2021

Descending Predictive Feedback: From Optimal Control to the Sensorimotor System.
CoRR, 2021

Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond.
Proceedings of the 2021 American Control Conference, 2021

2020
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control.
CoRR, 2020

SLSpy: Python-Based System-Level Controller Synthesis Framework.
CoRR, 2020

Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis.
Proceedings of the 2020 American Control Conference, 2020


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