M Parvizian, K Khandani - International Journal of Robust and …, 2021 - Wiley Online Library
This article is concerned with exponential mean square stabilization of stochastic systems driven by fractional Brownian motion subject to state‐delay and uncertainties by sliding …
This paper investigates the H∞ sliding mode control (SMC) design for fractional stochastic systems. We study a very general category of stochastic systems that are nonlinear and …
X Meng, C Gao, B Jiang, HR Karimi - Discrete & Continuous …, 2022 - researchgate.net
This paper investigates the problem of disturbance-observer-based sliding mode control for stabilization of stochastic systems driven by fractional Brownian motion (fBm). By proposing …
S Dadras, HR Momeni - … in Nonlinear Science and Numerical Simulation, 2012 - Elsevier
A novel type of control strategy combining the fractional calculus with terminal sliding mode control called fractional terminal sliding mode control is introduced for a class of dynamical …
K Khandani, VJ Majd… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, stochastic systems with fractional Gaussian noise (fGn) are stochastically stabilized using a new robust sliding mode control scheme. The system is assumed to have …
This article considers the problem of non-fragile observer design for uncertain fractional Itô stochastic systems. The design is based on a sliding surface whose reachability in finite time …
This paper concerns the problem of robust stabilization of autonomous and non- autonomous fractional-order chaotic systems with uncertain parameters and external noises …
J Jiang, H Li, K Zhao, D Cao, JLG Guirao - Advances in Difference …, 2021 - Springer
This paper deals with the finite time stability and control for a class of uncertain variable fractional order nonlinear systems. The variable fractional Lyapunov direct method is …
S Sweetha, V Panneerselvam, N Tatar… - Chaos, Solitons & …, 2023 - Elsevier
This paper discusses the stabilization issue for a class of nonlinear neutral-type stochastic systems subject to time-varying delays, linear fractional uncertainties, actuator faults, input …