Finite Sample Analysis for a Class of Subspace Identification Methods

no code implementations • 26 Apr 2024 • Jiabao He, Ingvar Ziemann, Cristian R. Rojas, Håkan Hjalmarsson

While subspace identification methods (SIMs) are appealing due to their simple parameterization for MIMO systems and robust numerical realizations, a comprehensive statistical analysis of SIMs remains an open problem, especially in the non-asymptotic regime.

Data-Driven Robust Control for Discrete Linear Time-Invariant Systems: A Descriptor System Approach

no code implementations • 14 Mar 2022 • Jiabao He, Xuan Zhang, Feng Xu, Junbo Tan, Xueqian Wang

Given the recent surge of interest in data-driven control, this paper proposes a two-step method to study robust data-driven control for a parameter-unknown linear time-invariant (LTI) system that is affected by energy-bounded noises.

Data-Driven Controllability Analysis and Stabilization for Linear Descriptor Systems

no code implementations • 7 Dec 2021 • Jiabao He, Xuan Zhang, Feng Xu, Junbo Tan, Xueqian Wang

For a parameter-unknown linear descriptor system, this paper proposes data-driven methods to testify the system's type and controllability and then to stabilize it.