5 papers · 1 filter
IF-CPS: Influence Functions for Cyber-Physical Systems -- A Unified Framework for Diagnosis, Curation, and Safety Attribution
Jiachen Li, Shihao Li, Soovadeep Bakshi +2
Neural network controllers trained via behavior cloning are increasingly deployed in cyber-physical systems (CPS), yet practitioners lack tools to trace controller failures back to…
Stochastic Trajectory Influence Functions for LQR: Joint Sensitivity Through Dynamics and Noise Covariance
Jiachen Li, Shihao Li, Soovadeep Bakshi +2
We present a three-level influence hierarchy for data valuation in stochastic LQR. At the \emph{model level}, the trajectory influence surrogate $\IFm_k := H^{-1}g_k$ approximates…
Datamodel-Based Data Selection for Nonlinear Data-Enabled Predictive Control
Jiachen Li, Shihao Li, Jiamin Xu +2
Data-Enabled Predictive Control (DeePC) has emerged as a powerful framework for controlling unknown systems directly from input-output data. For nonlinear systems, recent work has…
From Natural Language to Certified H-infinity Controllers: Integrating LLM Agents with LMI-Based Synthesis
Shihao Li, Jiachen Li, Jiamin Xu +1
We present \textsc{S2C} (Specification-to-Certified-Controller), a multi-agent framework that maps natural-language requirements to certified state-feedback co…
Influence Functions for Data Attribution in Linear System Identification and LQR Control
Jiachen Li, Shihao Li, Soovadeep Bakshi +2
When a controller is designed from an identified model, its performance ultimately depends on the trajectories used for identification, but pinpointing which ones help or hurt rema…