16 Papers
3 Citations
Lanfeng Hua is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 2, co-authored 2 publications.
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Papers
Novel Finite-Time Reliable Control Design for Memristor-Based Inertial Neural Networks With Mixed Time-Varying Delays
TL;DR: In this article, an appropriate reliable control strategy is proposed for MINNs, which takes the influence of actuator failures into account, and novel theoretical results to guarantee the FTS for the concerned MINNs are acquired, and the desired reliable controller gains are obtained simultaneously.
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Further results on finite-time synchronization of delayed inertial memristive neural networks via a novel analysis method.
TL;DR: An improved control scheme is proposed under the delay-independent conditions, which can work even when the past state cannot be measured or the specific time delay function is unknown, and a new Lemma is established which can effectively deal with the difficulties caused by memristive connection weights and MTVDs.
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Fixed-Time Stability of Nonlinear Impulsive Systems and Its Application to Inertial Neural Networks.
TL;DR: In this paper , a fixed-time stability (FTS) problem of nonlinear impulsive systems (NISs) is considered, and several sufficient conditions are established to ensure the FTS of general NISs.
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Novel Criteria on Finite-Time Stability of Impulsive Stochastic Nonlinear Systems
TL;DR: In this paper , the authors considered the finite-time stability problem of generalized impulsive stochastic nonlinear systems (ISNS) and proposed a new impulse-dependent estimation strategy for stabilizing and destabilizing impulses.
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