Adaptive fuzzy control for a class of unknown fractional-order neural networks subject to input nonlinearities and dead-zones

H Liu, S Li, H Wang, Y Sun - Information Sciences, 2018 - Elsevier
This paper presents an adaptive fuzzy control (AFC) for uncertain fractional-order neural
networks (FONNs) with input nonlinearities and unmodeled dynamics. System uncertainties …

Sufficient and necessary conditions for stabilizing singular fractional order systems with partially measurable state

Y Wei, J Wang, T Liu, Y Wang - Journal of the Franklin Institute, 2019 - Elsevier
This paper is concerned with the stabilization problem of singular fractional order systems
with order α∈(0, 2). In addition to the sufficient and necessary condition for observer based …

Quantized iterative learning control for singular nonlinear fractional-order time-delay multi-agent systems with iteration-varying reference trajectories and switching …

X Zhou, H Wang, K Wang, Y Tian - Communications in Nonlinear Science …, 2023 - Elsevier
This paper addresses the consensus tracking of the leader-following singular nonlinear
fractional-order system with state time-delay in face of iteration-varying communication …

Learning formation control for fractional‐order multiagent systems

D Luo, JR Wang, D Shen - Mathematical Methods in the …, 2018 - Wiley Online Library
In this paper, we use 2 iterative learning control schemes (P‐type and PI‐type) with an initial
learning rule to achieve the formation control of linear fractional‐order multiagent systems …

Iterative learning control for locally Lipschitz nonlinear fractional-order multi-agent systems

D Luo, JR Wang, D Shen - Journal of the Franklin Institute, 2020 - Elsevier
In this paper, we design P-type and PI β-type iterative learning control update laws to deal
with the consensus tacking problem for nonlinear fractional-order multi-agent systems with …

Iterative learning control for fractional-order multi-agent systems

D Luo, JR Wang, D Shen, M Fečkan - Journal of the Franklin Institute, 2019 - Elsevier
In this paper, we apply iterative learning control to both linear and nonlinear fractional-order
multi-agent systems to solve consensus tacking problem. Both fixed and iteration-varying …

Iterative learning control for impulsive fractional order time‐delay systems with nonpermutable constant coefficient matrices

M Aydin, NI Mahmudov - … Journal of Adaptive Control and Signal …, 2022 - Wiley Online Library
We introduce an impulsive fractional order time‐delay systems with nonpermutable constant
coefficient matrices whose solution is given by delayed perturbation of Mittag–Leffler type …

A universal framework of the generalized Kalman–Yakubovich–Popov lemma for singular fractional-order systems

Y Li, Y Wei, Y Chen, Y Wang - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
The well-known generalized Kalman–Yakubovich–Popov lemma is widely used in system
analysis and synthesis. However, the corresponding theory for singular systems, especially …

PDα‐type distributed learning control for nonlinear fractional‐order multiagent systems

D Luo, JR Wang, D Shen - Mathematical Methods in the …, 2019 - Wiley Online Library
This paper considers the consensus tacking problem for nonlinear fractional‐order
multiagent systems by presenting a PD α‐type iterative learning control update law with …

Impulsive fractional differential equations with Riemann–Liouville derivative and iterative learning control

Q Chen, A Debbouche, Z Luo, JR Wang - Chaos, Solitons & Fractals, 2017 - Elsevier
We try to seek a representation of solution to an initial value problem for impulsive fractional
differential equations (IFDEs for short) involving Riemann–Liouvill (RL for short) fractional …