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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 …
networks (FONNs) with input nonlinearities and unmodeled dynamics. System uncertainties …
Sufficient and necessary conditions for stabilizing singular fractional order systems with partially measurable state
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 …
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 …
fractional-order system with state time-delay in face of iteration-varying communication …
Learning formation control for fractional‐order multiagent systems
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 …
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
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 …
with the consensus tacking problem for nonlinear fractional-order multi-agent systems with …
Iterative learning control for fractional-order multi-agent systems
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 …
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
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 …
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
The well-known generalized Kalman–Yakubovich–Popov lemma is widely used in system
analysis and synthesis. However, the corresponding theory for singular systems, especially …
analysis and synthesis. However, the corresponding theory for singular systems, especially …
PDα‐type distributed learning control for nonlinear fractional‐order multiagent systems
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 …
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
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 …
differential equations (IFDEs for short) involving Riemann–Liouvill (RL for short) fractional …