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Jing Shuang Li
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Journal Articles
- 2023
- [j3]Antoine Aspeel
, Jakob Nylöf
, Jing Shuang Li
, Necmiye Ozay
:
A Low-Rank Approach to Minimize Sensor-to-Actuator Communication in Finite-Horizon Output Feedback. IEEE Control. Syst. Lett. 7: 3609-3614 (2023) - [j2]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): 1058-1068 (2023) - [j1]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): 1113-1123 (2023)
Conference and Workshop Papers
- 2023
- [c8]Fangzhou Xiao, Jing Shuang Li, John C. Doyle:
Flux exponent control predicts metabolic dynamics from network structure. ACC 2023: 1189-1194 - 2022
- [c7]Anish A. Sarma, Jing Shuang Lisa Li
, Josefin Stenberg, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, Terrence J. Sejnowski, John C. Doyle:
Internal Feedback in Biological Control: Architectures and Examples. ACC 2022: 456-461 - [c6]Josefin Stenberg, Jing Shuang Lisa Li
, Anish A. Sarma, John C. Doyle:
Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory. ACC 2022: 462-467 - [c5]Jing Shuang Lisa Li
:
Internal Feedback in Biological Control: Locality and System Level Synthesis. ACC 2022: 474-479 - [c4]Jing Shuang Lisa Li
, John C. Doyle:
Distributed Robust Control for Systems with Structured Uncertainties. CDC 2022: 1702-1707 - [c3]Lauren E. Conger, Jing Shuang Lisa Li
, Eric Mazumdar, Steven L. Brunton:
Nonlinear System Level Synthesis for Polynomial Dynamical Systems. CDC 2022: 3846-3852 - 2021
- [c2]Jing Shuang Li
, Carmen Amo Alonso
, John C. Doyle:
Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond. ACC 2021: 2720-2725 - 2020
- [c1]Jing Shuang Lisa Li
, Dimitar Ho:
Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis. ACC 2020: 3529-3534
Informal and Other Publications
- 2023
- [i12]Jing Shuang Li, Carmen Amo Alonso:
Global Performance Guarantees for Localized Model Predictive Control. CoRR abs/2303.11264 (2023) - [i11]Antoine Aspeel, Jakob Nylöf, Jing Shuang Li, Necmiye Ozay:
A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback. CoRR abs/2311.08998 (2023) - 2022
- [i10]Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
:
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR abs/2203.00780 (2022) - [i9]Jing Shuang Li, John C. Doyle:
Distributed Robust Control for Systems with Structured Uncertainties. CoRR abs/2204.02493 (2022) - [i8]Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, John C. Doyle:
Why internal feedback is necessary in the perception-action loop. CoRR abs/2211.05922 (2022) - 2021
- [i7]Jing Shuang Li, Anish A. Sarma, John C. Doyle:
Descending Predictive Feedback: From Optimal Control to the Sensorimotor System. CoRR abs/2103.16812 (2021) - [i6]Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory. CoRR abs/2109.11752 (2021) - [i5]Jing Shuang Li, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 2: System Level Synthesis and Architecture. CoRR abs/2109.11757 (2021) - [i4]Anish A. Sarma, Jing Shuang Li, Josefin Stenberg, John C. Doyle:
Internal Feedback in Biological Control: Constraints and Layered Architectures. CoRR abs/2110.05029 (2021) - 2020
- [i3]Shih-Hao Tseng, Jing Shuang Li:
SLSpy: Python-Based System-Level Controller Synthesis Framework. CoRR abs/2004.12565 (2020) - [i2]Jing Shuang Li, Dimitar Ho:
Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis. CoRR abs/2006.05040 (2020) - [i1]Jing Shuang Li, Carmen Amo Alonso
, John C. Doyle:
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control. CoRR abs/2010.01292 (2020)
Coauthor Index
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