Static output feedback stabilization for second-order singular systems using model reduction methods
From MaRDI portal
Publication:824095
DOI10.1007/s10483-021-2710-7OpenAlexW3130192118MaRDI QIDQ824095
Xiulin Hu, Yuhao Cong, Zheng Wang
Publication date: 14 December 2021
Published in: AMM. Applied Mathematics and Mechanics. (English Edition) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10483-021-2710-7
Stabilization of systems by feedback (93D15) Eigenvalue problems (93B60) System structure simplification (93B11) Large-scale systems (93A15)
Related Items (1)
Cites Work
- Unnamed Item
- Analysis and design of descriptor linear systems
- Data-driven structured realization
- Frequency- and time-limited balanced truncation for large-scale second-order systems
- Delay-dependent stability of Runge-Kutta methods for linear delay differential-algebraic equations
- Dimension reduction of large-scale systems. Proceedings of a workshop, Oberwolfach, Germany, October 19--25, 2003.
- Second-order balanced truncation
- Reduction of Second Order Unilateral Singular Systems. Applications in Mechanics
- Controllability and Observability of Second Order Descriptor Systems
- A second order singular linear system arising in electric power systems analysis†
- Structure preserving balanced proper orthogonal decomposition for second‐order form systems via shifted Legendre polynomials
- Optimal control of second‐order and high‐order descriptor systems
- Parametric Eigenstructure Assignment in Second-Order Descriptor Linear Systems
- SOAR: A Second-order Arnoldi Method for the Solution of the Quadratic Eigenvalue Problem
- Dimension Reduction of Large-Scale Second-Order Dynamical Systems via a Second-Order Arnoldi Method
- Balancing and model reduction for second-order form linear systems
- Model-order reduction of large-scale second-order MIMO dynamical systems via a block second-order Arnoldi method
This page was built for publication: Static output feedback stabilization for second-order singular systems using model reduction methods