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This paper is concerned with the problem of variable structure synchronization control for switched time-delay neural networks subject to packet dropouts. A variable structure control law is proposed to achieve the complete synchronization of the master system and the slave system in the sense that the trajectories of the error system are ultimately mean-square bounded for any switching signal with...
To improve the equality of continuous casting billet, synchronization control is investigated for continuous casting mold driven by dual-cylinder electro-hydraulic servo systems (EHSS) in this paper. A second-order super twisting sliding mode controller is developed for each cylinder EHSS, in which cross-coupled errors are employed to construct the sliding mode surfaces, which guarantee that trajectory...
A new synchronization control method is proposed for fractional order Lorenz systems. In this paper, the addressed problem is firstly transformed into stability analysis of the error system. Secondly, the error system could be asymptotically stabilized by designing passive state feedback controllers. Finally, the simulation results show that the proposed method is correct and effective.
In this paper, the issue of synchronization for a three-dimensional energy resource chaotic system is considered. To achieve the synchronization between the drive and response systems, active control with known parameters has been designed. In consideration of the existence of disturbances, a new design of disturbance observer is proposed based on synchronization errors. Active control with such disturbance...
This paper investigates the control, synchronization and coexistence of synchronization and anti-synchronization of a novel hyperchaotic finance chaotic system. For the above problems, three simple controllers with single variable are proposed to solve them. In comparison with the existing results, the obtained controllers in this paper are simpler than those. Numerical simulations verify the correctness...
This paper proposes a design method for adaptive non-fragile synchronization of the Lur'e differential inclusion system. Firstly, the master system and the slave system are presented under some assumptions. Then, based on the output, the adaptive non-fragile controller is designed to make the error system asymptotically stable. Finally, the rotor system is simulated to show the effectiveness of the...
This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation...
This paper investigates the coexistence of anti-synchronization and synchronization in the unified chaotic systems. First, an algorithm is proposed to select what variables in the master system which can anti-synchronize the corresponding variables in the slave system. Then, several control strategy is presented to guarantee coexistence of synchronization and anti-synchronization in the unified chaotic...
Traditionally, pinning control design is based on the same input signal. However, in some real world engineering systems, it is difficult or very expensive to obtain the same input signal for all the pinned nodes due to different observations and configuration. To overcome the above essential difficulty, this paper develops a novel cooperative pinning synchronization method for a class of typical...
This paper focuses on the synchronization problem of hybrid switching-impulsive dynamical networks with nonlinear coupling. By using the contraction theory, several unified criteria are obtained for network synchronization with nonlinear coupling based on the conception of the average impulsive dwell-time. It is no additional difficulty by using the partial contraction theory. The numerical example...
This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain, in which uncertainties in determination of driver nodes and control gains are considered. A framework by including interval uncertainties is proposed for robust controllability. It is revealed that the existence of uncertainties in choosing driver nodes and designing control gains heavily...
In this paper, synchronization of drive-response complex dynamical networks with fractional-order dynamical nodes is discussed. Only scalar signals as the feedback variable are required to be transmitted from the driving network to the response network, which can save a lot of channel resources and has more significant meanings in engineering applications. Based on the Jordan canonical transformation...
In this paper, an optimal self-learning cooperative control for heterogeneous multi-agent systems by iterative adaptive dynamic programming (ADP) is developed. The main idea is to design an optimal control law by policy iteration based ADP technique which makes all the agents track a given dynamics and simultaneously makes the iterative performance index function reach the Nash equilibrium. The cooperative...
This paper is concerned with the mean square exponential (MSE) synchronization problem for the multi-agent systems with time delays over uncertain networks, where the uncertainty lies in that the links between subsystems are varying stochastically according to certain rules. Firstly, applying the theories of coordinate transformation, Kronecker product and Laplacian matrix, the synchronization problem...
In this paper, the finite-time synchronization of coupled stochastic partial differential systems (SPDSs) is investigated. First, we get the synchronization error dynamics, and the finite-time synchronization problem is transformed into the finite-time stabilization problem of synchronization error dynamics. By virtue of the finite-time stability lemma, using Lyapunov-Krasoviskii functional method...
Based on the two-compartment neuron model, the influence of neuronal morphology on firing and phase response curves (PRC) of cells are investigated. And by means of PRC, the relationship between neuronal morphology and network synchronization stimulated by extracellular electric field is studied. Results showed that the excitability of neurons can present different types when the morphological parameter...
This paper is concerned with the synchronization problem for a class of discrete-time memristive recurrent neural networks with time-delays. By using the piecewise Lyapunov function technique, sufficient conditions are obtained to guarantee the exponential synchronization of the discrete-time memristive neural networks with time-delays. By recurring to the delay partitioning method and the free-weighting...
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