On the synchronization and stabilization of fractional-order chaotic systems: Recent advances and future perspectives
MA Balootaki, H Rahmani, H Moeinkhah… - Physica A: Statistical …, 2020 - Elsevier
Chaos is one of the most significant findings in physics and engineering. Fractional-order
chaotic systems are nonlinear systems with special features which, some of them include …
chaotic systems are nonlinear systems with special features which, some of them include …
Adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems with time-varying input delay and full state constraints
T Wang, J Wu, Y Wang, M Ma - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy tracking control problem for a class of strict-
feedback nonlinear systems with time-varying input delay and full state constraints. By using …
feedback nonlinear systems with time-varying input delay and full state constraints. By using …
Fuzzy adaptive optimal backstepping control of the FO MEMS resonator under imprecise target trajectory with disturbance compensation mechanism
L Zhao, G Yang, Y Li, X Hu - Nonlinear Dynamics, 2023 - Springer
With the deep research of the fractional-order (FO) calculus theory, it has been found that the
FO model can more realistically depict electromechanical devices with viscoelastic …
FO model can more realistically depict electromechanical devices with viscoelastic …
Fuzzy neural network-based chaos synchronization for a class of fractional-order chaotic systems: an adaptive sliding mode control approach
RM Wang, YN Zhang, YQ Chen, X Chen, L Xi - Nonlinear Dynamics, 2020 - Springer
This paper deals with chaos synchronization problem between two different uncertain
fractional-order (FO) chaotic systems with disturbance based on FO Lyapunov stability …
fractional-order (FO) chaotic systems with disturbance based on FO Lyapunov stability …
Lag projective synchronization of fractional-order delayed chaotic systems
This paper considers the lag projective synchronization of fractional-order delayed chaotic
systems. The lag projective synchronization is achieved through the use of comparison …
systems. The lag projective synchronization is achieved through the use of comparison …
Accelerated adaptive fuzzy optimal control of three coupled fractional-order chaotic electromechanical transducers
S Luo, FL Lewis, Y Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the issue of the accelerated adaptive fuzzy optimal control of
three coupled fractional-order chaotic electromechanical transducers. A small network …
three coupled fractional-order chaotic electromechanical transducers. A small network …
Stabilization of a class of fractional order systems with both uncertainty and disturbance
R Peng, C Jiang, R Guo - IEEE Access, 2021 - ieeexplore.ieee.org
This paper investigates the stabilization problem of fractional order systems with both model
uncertainty and external disturbance. By combining the linear feedback control method, the …
uncertainty and external disturbance. By combining the linear feedback control method, the …
Dynamical analysis, circuit design and fuzzy prescribed performance backstepping control of the FO weakly coupled MEMS resonators
This article investigates the dynamical analysis, circuit design, and fuzzy prescribed
performance backstepping control of fractional-order (FO) weakly coupled micro-electro …
performance backstepping control of fractional-order (FO) weakly coupled micro-electro …
Dynamical analysis and accelerated optimal stabilization of the fractional-order self-sustained electromechanical seismograph system with fuzzy wavelet neural …
S Luo, FL Lewis, Y Song, R Garrappa - Nonlinear Dynamics, 2021 - Springer
This paper investigates dynamical analysis and accelerated optimal stabilization issues of
the fractional-order (FO) self-sustained electromechanical seismograph system under …
the fractional-order (FO) self-sustained electromechanical seismograph system under …
Tracking a maneuvering target by multiple sensors using extended kalman filter with nested probabilistic-numerical linguistic information
Tracking a maneuvering target is an important technology. Due to complex environment and
diversity of sensors, errors need to be optimized with respect to various motion states during …
diversity of sensors, errors need to be optimized with respect to various motion states during …