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After analyzing the shortcomings of existing synchronization methods based on GPS and the research status of synchronization for Crosswell Electromagnetic Imaging Logging Tool(CEMIT), a feasible synchronization method combined the actual conditions of CEMIT with the basis of existing research is proposed. First of all, GPS receiver provides a high accurate 1PPS, which received by Surface System, and...
Network analysis of signals originating from different parts of brain during motor imagery (MI) has gained lots of interest recently. In this paper, we used EEG to construct the brain network during MI, and analyzed the topological characteristics of the EEG function network. It is found that the node degree and clustering coefficient of the right hand MI is higher than the left hand MI on the nodes...
This paper studies the transmission synchronization (TS) problem among multiple coupled chaotic systems by considering unknown parameters. In the solving process, we firstly select a special integral sliding surfaces, and then we develop an effective controller with the compensation terms to guarantee the asymptotical stability of all TS error systems. Simultaneously, we design the proper adaptive...
In this paper, finite-time synchronization for delayed complex-valued bidirectional associative memory (BAM) neural networks is investigated. Based on the finite-time stability and some inequality techniques, a synchronization criterion is provided to guarantee that the drive-response systems achieve synchronization in finite time, and the settling time can be estimated effectively. Meanwhile, a suitable...
This paper discusses the time synchronization issue in wireless sensor networks. An event-triggered average consensus time synchronization algorithm is proposed. This algorithm uses the average time message from one node's one-hop neighbors to update the clock parameters of the node. And it achieved acceptable synchronization accuracy. We also proposed an event-trigger mechanism to reduce the communication...
This paper is concerned with globally asymptotical synchronization of fractional-order memristor-based neural networks (FMNNs) with multiple time-varying delays. Based on the definition of memristors, a more practical model of FMNNs with multiple time-varying delays is constructed from the integerorder counterparts. FMNNs are represented by fractional-order differential equations with discontinuous...
The chaos synchronization problem is investigated in a coronary artery system with periodic disturbance. Based on the Lyapunov stability theory and the comparison theorem, an effective impulsive law with variable control gains and impulsive intervals is designed to achieve synchronization of the chaotic coronary artery system. The upper bound of impulsive interval is given to ensure the stable synchronization...
In this paper, the synchronization problem for heterogeneous multi-agent differential graphical game with control input and antagonistic input is considered. Due to the heterogeneous agents, the tracking error system is transformed into an extended system firstly, then the previous problem is formulated into a heterogeneous multi-agent zero-sum differential graphical game. To make the multi-agent...
This paper proposes a novel adaptive synchronization approach for a class of nonlinear large-scale systems via T-S fuzzy model. It is known that the practical large-scale systems are very complicated with nonlinear coupling strength between every two subsystems, thus the classical linear control methods are invalid for them. To overcome this deficiency, we employ the T-S fuzzy model in this paper...
This paper proposes a filter-based distributed protocol to realize time synchronization under time-varying clock parameters. The proposed protocol is derived from a first-order controller and is fully distributed, meaning that by relying merely on its local clock readings and reading announcements from its neighbouring sensor nodes, each node in WSNs can dynamically update its virtual clock and bound...
The global synchronization problem of complex dynamical networks with memristive neural networks (MNNs) nodes is studied in this paper. By using the Filippov solution and some set-valued maps, the synchronization framework of complex networks with MNNs nodes is presented. Some sufficient criteria ensuring the considered complex networks to be globally exponentially synchronized are derived by using...
Event-triggered mechanism is applied to multiagent systems in order to reduce the amount of information transmission. In this paper, a novel centralized/distributed hybrid event-triggered mechanism(HETM) is proposed. It is shown that the proposed event-triggered mechanism not only guarantees the consensus of multi-agent systems but also effectively avoids the Zeno behavior. Then, we further consider...
Most applications of underwater acoustic sensor networks (UASNs) rely upon accurate location information of target. However, the asynchronous clock and noise measurement characteristics of underwater environment make target localization more challenging as compared to the terrestrial sensor networks. In this paper, we design an asynchronous localization algorithm for UASNs, where the synchronous clock...
The paper proposes a novel voltage event-triggered P-U control strategy for improving related active power sharing accuracy in low-voltage microgrid (MG). Active power sharing inaccuracy is associated with voltages difference of distributed generation units (DGs) that is basically attributed to mismatched lines impedance. So the inaccuracy is inevitable. The proposed voltage control strategy contains...
This paper studies boundary control for function projective synchronization of a complex sptio-temporal network with time-varying delays and nonlinear terms satisfying the Lipschitz condition. A boundary controller based on distributed measures is studied for function projective synchronization. Using Lyapunov's direct method, the problem of existence of the controller is formulated as the feasibility...
A sliding mode control approach is proposed to synchronize a class of delayed neural networks in a finite time, where the mismatched parameters and neuron activation functions are taken into account. In the controller design, a sliding mode manifold is directly defined by the synchronization error, which greatly reduces the synchronization time. Its concise design process and its ability to synchronize...
In this paper, the control problems of the permanent magnet synchronous motor (PMSM) system are investigated extensively. Some single input controllers were proposed to realize the control problems of such system, such as stabilization, synchronization, coexistence of anti-synchronization and synchronization, projective synchronization. It is noted that there exist two different single input controllers...
This technical note is aimed at studying the joint impacts of the system dynamic structure and the communication topology on the synchronization of multi-linear positive systems. Through rigorous analysis, necessary and sufficient conditions are given to guarantee the coupled systems achieving positive synchronization under the distributed control protocol, and the gain matrix designed is related...
This paper is concerned with the exponential lag anti-synchronization for a class of memristive neural networks with multiple time delays. By utilizing discontinuous control theory, several new sufficient conditions concerning exponential lag anti-synchronization are obtained. The obtained results complement and extend earlier publications on memristive or conventional neural networks. Finally, numerical...
In the multi-robot applications, the maintained and desired network may be destroyed by failed robots. The existing self-healing algorithms only handle with the case of single robot failure, however, multiple robot failures may cause several challenges, such as disconnected network and conflicts among repair paths. This paper presents a distributed self-healing algorithm based on 2-hop neighbor infomation...
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