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Fixed-Time Synchronization and Energy Consumption for Kuramoto-Oscillator Networks With Multilayer Distributed Control

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2023
The fixed-time synchronization and energy consumption of Kuramoto-oscillator networks with multilayer distributed control are studied in this brief.
Guoqing Yang   +3 more
semanticscholar   +1 more source

Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy

IEEE Transactions on Neural Networks and Learning Systems, 2022
This article investigates the finite-time and fixed-time synchronization for memristive neural networks (MNNs) with mixed time-varying delays under the adaptive aperiodically intermittent adjustment strategy.
Liyan Cheng   +4 more
semanticscholar   +1 more source

Fixed-Time Synchronization in the pth Moment for Time-Varying Delay Stochastic Multilayer Networks

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Since the speed that the $p$ th moment of an output signal norm tends to 0 can be used to measure the quality of the output signal, the stability of the $p$ th moment of complex networks has been widely concerned.
Yuhua Xu   +4 more
semanticscholar   +1 more source

Finite-Time Synchronization of Markovian Coupled Neural Networks With Delays via Intermittent Quantized Control: Linear Programming Approach

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article is devoted to investigating finite-time synchronization (FTS) for coupled neural networks (CNNs) with time-varying delays and Markovian jumping topologies by using an intermittent quantized controller. Due to the intermittent property, it is
Rongqiang Tang   +3 more
semanticscholar   +1 more source

Finite-Time Synchronization of Memristive Neural Networks With Fractional-Order

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
In this paper, the problem of the finite-time synchronization is addressed for a kind of fractional-order memristive neural networks (FMNNs). First, a new power law inequality with fractional-order and two finite-time fractional differential inequalities
Shuai Yang   +3 more
semanticscholar   +1 more source

Finite-Time Synchronization for Fuzzy Inertial Neural Networks by Maximum Value Approach

IEEE transactions on fuzzy systems, 2021
In this article, the finite-time synchronization of drive-response fuzzy inertial neural networks with delays is considered. Without applying the finite-time stability theorems and integral inequality approach, by using the maximum value approach of ...
Zhengqiu Zhang, Jinde Cao
semanticscholar   +1 more source

Improved Results on Fixed-/Preassigned-Time Synchronization for Memristive Complex-Valued Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article concerns the problems of synchronization in a fixed time or prespecified time for memristive complex-valued neural networks (MCVNNs), in which the state variables, activation functions, rates of neuron self-inhibition, neural connection ...
Q. Gan   +4 more
semanticscholar   +1 more source

Finite-Time Synchronization of Fractional-Order Complex-Variable Dynamic Networks

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
In this paper, without dividing complex-variable networks into two subsystems with real values, the finite-time synchronization is considered for complex-valued dynamical networks with fractional order by means of the theory of complex-variable functions.
Tianqi Hou   +3 more
semanticscholar   +1 more source

Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control

IEEE Transactions on Neural Networks and Learning Systems, 2021
The finite-time synchronization problem is investigated for the master–slave complex-valued memristive neural networks in this article. A novel Lyapunov-function based finite-time stability criterion with impulsive effects is proposed and utilized to ...
Tianhu Yu   +3 more
semanticscholar   +1 more source

Finite-Time and Fixed-Time Synchronization of Quaternion-Valued Neural Networks With/Without Mixed Delays: An Improved One-Norm Method

IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, the finite-time synchronization (FTSYN) of a class of quaternion-valued neural networks (QVNNs) with discrete and distributed time delays is studied.
Tao Peng   +4 more
semanticscholar   +1 more source

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