H∞ sliding mode control for Markovian jump systems with randomly occurring uncertainties and repeated scalar nonlinearities via delay-fractioning method.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.01.032
Abstract: This paper addresses the problem of robust H∞ sliding mode control (SMC) for discrete delayed Markovian jumping systems subject to randomly occurring uncertainties (ROUs) and repeated scalar nonlinearities (RSNs). Here, a set of mutually independent… read more here.
Keywords: randomly occurring; sliding mode; repeated scalar; mode control ... See more keywords
Robust H∞ state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.062
Abstract: Abstract In this paper, the robust H∞ state estimation problem is investigated for a class of discrete-time delayed bidirectional associative memory neural networks with randomly occurring uncertainties (ROUs) and sensor saturations. In order to more… read more here.
Keywords: state; randomly occurring; state estimation; sensor saturations ... See more keywords
L2-L∞ filtering for stochastic delayed systems with randomly occurring nonlinearities and sensor saturation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1794080
Abstract: This work investigates L2-L∞ filtering problem for a class of stochastic systems with time-delay and randomly occurring phenomena. The purpose of the addressed problem is to design a full order filter to ensure the filtering… read more here.
Keywords: randomly occurring; nonlinearities sensor; occurring nonlinearities; filtering stochastic ... See more keywords
Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3163258
Abstract: This paper investigates the problem of recursive resilient filtering for discrete-time nonlinear dynamical networks with randomly switching topologies under randomly occurring faults and hybrid cyber-attacks. The attacks considered are composed of DoS attacks describing by… read more here.
Keywords: occurring faults; randomly occurring; dynamical networks; resilient filtering ... See more keywords
Adaptive Neural Control of Nonlinear Cyber–Physical Systems Against Randomly Occurring False Data Injection Attacks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3212391
Abstract: In this article, the main contribution is to introduce the adaptive backstepping technique into nonlinear cyber–physical systems against randomly occurring false data injection (ROFDI) attacks. And a new defense strategy based on nonlinear disturbance observer… read more here.
Keywords: systems randomly; nonlinear cyber; physical systems; control ... See more keywords
Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Difference Equations"
DOI: 10.1186/s13662-019-2000-0
Abstract: In this paper, the robust optimal filtering problem is discussed for time-varying networked systems with randomly occurring quantized measurements via the variance-constrained method. The stochastic nonlinearity is considered by statistical form. The randomly occurring quantized… read more here.
Keywords: quantized measurements; boundedness; occurring quantized; variance constrained ... See more keywords