6 citations · 10 across the 9 of their papers we have counts for
9 papers
Realizations of Linear Systems with Prescribed Sparsity Patterns
Yaozhi Du, Jing Shuang Li
This paper solves the following problem: given a transfer function and desired sparsity patterns for its state-space realization, how can we find a realization of the function that…
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni +1
Engineered cyberphysical systems are growing increasingly large and complex. These systems require scalable controllers that robustly satisfy state and input constraints in the pre…
Internal Feedback in Biological Control: Architectures and Examples
Anish A. Sarma, Jing Shuang Li, Josefin Stenberg +5
Feedback is ubiquitous in both biological and engineered control systems. In biology, in addition to typical feedback between plant and controller, we observe feedback pathways wit…
Distributed and Localized Model Predictive Control. Part I: Synthesis and Implementation
Carmen Amo Alonso, Jing Shuang Li, James Anderson +1
The increasing presence of large-scale distributed systems highlights the need for scalable control strategies where only local communication is required. Moreover, in safety-criti…
Internal Feedback in Biological Control: Locality and System Level Synthesis
Jing Shuang Li
The presence of internal feedback pathways (IFPs) is a prevalent yet unexplained phenomenon in the brain. Motivated by experimental observations on 1) motor-related signals in visu…
Descending Predictive Feedback: From Optimal Control to the Sensorimotor System
Jing Shuang Li, Anish A. Sarma, John C. Doyle
Descending predictive feedback (DPF) is an ubiquitous yet unexplained phenomenon in the central nervous system. Motivated by recent observations on motor-related signals in the vis…
Robust Distributed and Localized Model Predictive Control
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni +1
We present a robust Distributed and Localized Model Predictive Control (rDLMPC) framework for large-scale structured linear systems. The proposed algorithm uses the System Level Sy…
Separating Controller Design from Closed-Loop Design: A New Perspective on System-Level Controller Synthesis
Jing Shuang Li, Dimitar Ho
We show that given a desired closed-loop response for a system, there exists an affine subspace of controllers that achieve this response. By leveraging the existence of this subsp…
SLSpy: Python-Based System-Level Controller Synthesis Framework
Shih-Hao Tseng, Jing Shuang Li
Synthesizing controllers for large, complex, and distributed systems is a challenging task. Numerous proposed methods exist in the literature, but it is difficult for practitioners…