Lingling Su
Beijing Institute of Technology
7 Papers
10 Citations
Lingling Su is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Boundary (topology) & Exponential stability. The author has an hindex of 4, co-authored 5 publications. Previous affiliations of Lingling Su include North China University of Technology.
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Papers
Boundary Stabilization of Wave Equation With Velocity Recirculation
TL;DR: It is shown that by using two measurements only, the output feedback makes the closed-loop system exponentially stable, and this opens the topic of exploration of control of wave PDEs with nonlocal terms.
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Stabilization of an unstable reaction–diffusion PDE cascaded with a heat equation ☆
TL;DR: A backstepping invertible transformation is used to design a suitable boundary feedback control so that the closed-loop system is equivalent to a cascade of PDE–PDE system, which is shown to be exponentially stable in a suitable Hilbert space.
42
Stabilisation of an anti-stable joint string with boundary disturbance
Lingling Su,Jun-Min Wang +1 more
TL;DR: A backstepping transformation is used to design a suitable boundary controller so that the system is equivalent to a target system which is exponentially stable when the disturbance is absent.
10
Control of a reaction-diffusion PDE cascaded with a heat equation
Jun-Min Wang,Lingling Su,Han-Xiong Li +2 more
- 17 Jun 2013
TL;DR: A backstepping invertible transformation is used to design a suitable boundary feedback control so that the closed-loop system is equivalent to a target system of PDE-PDE cascades, which is shown to be exponentially stable in some Hilbert space.
2
Stabilization for a cable with tip mass under boundary input disturbance
Abstract: The stabilization problem for a cable with tip mass subject to boundary input disturbance is concerned in this paper. First, a nonlinear feedback controller is designed using sliding mode control method to reject the disturbance. Second, observation blind point which leads to zero output is found in this system. Third, the existence of the solution is obtained based on the solvability of a class of variational equations. Finally, by the LaSalle's Invariance Principle-like together with the observation blind point theory, we show the closed loop system converges asymptotically to zero.
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