L
Lin Jiang
Researcher at University of Liverpool
Publications - 465
Citations - 14528
Lin Jiang is an academic researcher from University of Liverpool. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 50, co-authored 389 publications receiving 10061 citations. Previous affiliations of Lin Jiang include University of Sheffield & Xiamen University.
Papers
More filters
Journal ArticleDOI
Notes on Stability of Time-Delay Systems: Bounding Inequalities and Augmented Lyapunov-Krasovskii Functionals
TL;DR: It is proved that, when a simple LKF is applied, the stability criteria obtained by the Wirtinger-based inequality and the Jensen inequality are equivalent, which means that the tighter inequality does not always lead to a less conservative criterion.
Journal ArticleDOI
Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine
TL;DR: PMSG scheme of permanent magnetic synchronous generator for maximum power point tracking can simultaneously own the promising merits of improved system damping and significant robustness, together with a globally consistent control performance under various operation conditions.
Journal ArticleDOI
Delay-Dependent Stability Analysis of the Power System With a Wide-Area Damping Controller Embedded
TL;DR: In this paper, the authors investigated the delay-dependent stability of a power system equipped with a wide-area damping controller (WADC) using a new method which consists of a delaydependent criterion based on Lyapunov theory and model reduction technique.
Journal ArticleDOI
Wide-Area Damping Controller for Power System Interarea Oscillations: A Networked Predictive Control Approach
TL;DR: Networked predictive control is employed to design a WADC for the generator exciter to enhance the damping of interarea oscillations in a large-scale power system and deal with the model uncertainties and variation of operating conditions.
Journal ArticleDOI
Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity
TL;DR: A new Lyapunov-Krasovskii functional with simple augmented terms and delay-dependent terms is constructed, and its derivative is estimated by several techniques, including free-weighting matrix and inequality estimation methods.