Global stabilization of the Kuramoto–Sivashinsky equation via distributed output feedback control
By Panagiotis D. Christofides, Antonios Armaou. 2000
150 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/01905b09d6ded34c202ada3ed4589c5b11eb310d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Jean-Michel Coron
- Wei He
- Eduardo Cerpa
- Qi Lu
- Shuzhi Sam Ge
- Alberto Mercado
- Hoai-Minh Nguyen
- Shaocheng Tong
In Computer Networks and Communications
- Jean-Michel Coron
- Qi Lu
- Wei He
- Bernard Voon Ee How
- Shuzhi Sam Ge
- Alberto Mercado
- Eduardo Cerpa
- Yoo Sang Choo
In Control and Systems Engineering
- Wei He
- Jean-Michel Coron
- Qi Lu
- Eduardo Cerpa
- Shuzhi Sam Ge
- Bernard Voon Ee How
- Alberto Mercado
- Shaocheng Tong
Citations in the corpus
- Local exact controllability to the trajectories of the 1-D Kuramoto–Sivashinsky equation☆ (2011, background): “For instance [2,7,21] deal with the stabilization problem and [17] is concerned with the robust control problem.”
- Fredholm Transform and Local Rapid Stabilization for a Kuramoto-Sivashinsky Equation (2015, background): “In [1, 6], the authors studied the global stabilization for the K-S equation with periodic boundary conditions.”
- Null controllability and stabilization of the linear Kuramoto-Sivashinsky equation (2009, methodology): “In order to stabilize this system, we design a finite-dimensional based feedback, as in [6, 1] for the KS equation with periodic boundary conditions.”
- Boundary control of a flexible marine riser with vessel dynamics (2010, methodology): “In such situation, various kinds of control methods including finite element method [3], Galerkin’s method [4] or assumed modes method [5], [6], energy-based robust control [7], [8], model-free control [9], [10] have been investigated to design controllers to improve the performance of the flexible ”