Synchronization Control Mechanism Research Articles

Fuzzy adaptive event-triggered synchronization control mechanism for T–S fuzzy RDNNs under deception attacks

In this paper, a fuzzy-dependent adaptive event-triggered mechanism (FAETM) for synchronizing Takagi–Sugeno (T–S) fuzzy reaction–diffusion neural networks (RDNNs) is developed while considering deception attacks. Firstly, a general neural network model considering both fuzzy logic rules and reaction–diffusion terms is established. Secondly, a FAETM based on an aperiodic sampling period is presented under deception attacks to alleviate the communication burden, wherein the adaptive threshold function is dependent on membership functions. Moreover, a membership-function-dependent asymmetric Lyapunov functional (LF) is constructed, and some positive-definite and symmetric constraints of matrices are removed as a result. Based on the LF method and integral inequality techniques, the H∞ synchronization criteria for the T–S fuzzy RDNNs are presented by linear matrix inequalities (LMIs). Finally, one simulation example is exploited to demonstrate the feasibility and validity of the established method, and the outcome is applied to image secure communication.

Preface

The 2023 2nd International Conference on Power System and Power Engineering (PSPE 2023) took place via virtual form in Nanchang, China from March 17th to 19th, 2023, with the attendance of 150 people.PSPE 2023 focused on research areas such as Electrical and Energy Circuits and Systems, Power System Security Defense and Restoration Control, Transmission and Distribution System and Equipment, Power Electronics, etc. The main goal was to bring together related scientists, researchers and developers to bridge the gap between research needs and advanced technological solutions. PSPE 2023 fostered research and development in power engineering and its applications. And it provided an opportunity for researchers and related personnels to present their recent theoretical developments, practical applications, and to discuss unsolved problems and potential challenges.The conference was divided into three main sessions. There are focused on keynote speeches, oral and poster presentations, as well as communication and discussion among all participants.We would like to highlight the main developments presented at the Conference and introduce the prominent speakers. The keynote speaker of the Conference Professor Qifang Chen (Beijing Jiaotong University, China) presented a report on The Interactive Strategy of Thermostatically Controlled Loads (Tcls) to Improve Feasibility and Scalability. In the speech he presented a new interactive control method to improve the feasibility and scalability of TCLs in demand response application. Professor Huihui Song (Harbin Institute of Technology (Weihai), China) talked on Preliminary Study on Synchronization Control Mechanism of Grid-Forming Asynchronous Power Sources under Ultra-High Proportion Consumption of New Energy. She analyzed the existing synchronization mechanism of asynchronous power sources, combined the achievements of NSFC, revealed the new stability mechanism of rhythmic synchronization from a new perspective of coupled oscillator synchronization science, and re-described the evolution process of system synchronization stability.Finally, we would like to thank the members of the Technical Program Committee and the Publication Chair for giving an opportunity to share scientific ideas and new developments at the Conference and the University of Agder, Norway for its friendly support. Last but not the least, our special acknowledgement also goes to the editors and staff of the Journal of Physics: Conference Series, for their kindness and assistance in publishing this volume.The Committee of PSPE 2023List of Committee Member are available in this pdf.

Novel adaptive strategies for synchronization control mechanism in nonlinear dynamic fuzzy modeling of fractional-order genetic regulatory networks

The synchronization problem for a nonlinear dynamic fuzzy modeling of fractional-order genetic regulatory networks with adaptive feedback controllers is addressed in this article. To address such a problem, a fuzzy feedback MAX template and a fuzzy feedback MIN template of fuzzy modeling are introduced. We developed adaptive based criteria to ensure the asymptotic and finite-time stability of the error system by constructing a suitable Lyapunov functional with linear matrix inequality (LMI) approach, which ensures the drive system synchronizes with the response system. Meanwhile, two distinct controllers, linear feedback and adaptive feedback control are being developed. It should be noted that the presented results are expressed in terms of LMI, which can be efficiently solved using Matlab LMI toolbox. Numerical simulations are carried out to illustrate the theoretical results.

Impulsive Synchronization Control Mechanism for Fractional-Order Complex-Valued Reaction-Diffusion Systems With Sampled-Data Control: Its Application to Image Encryption

This article is devoted to gain a better understanding of the synchronization control mechanism in networked, complex-valued reaction-diffusion systems via an impulsive and sampled-data controller. Different from the traditional control methods with hybrid mechanism, an impulsive and sampled-data control scheme is proposed for fractional-order complex-valued reaction-diffusion neural networks (FRDCVNNs). By utilizing Lyapunov functional and inequality techniques, finite-time Mittag-Leffler synchronization criteria via an impulsive and sampled-data controller are established and presented as linear matrix inequalities (LMIs), which can ensure the finite-time synchronization of error system containing the drive and response dynamics. In addition, synchronization control mechanism on the considered system via impulsive actuator saturation and sampled-data control are applied. Simulation examples are provided to verify the efficacy of the proposed synchronization criterion and the results of practical application to image encryption scheme based on the chaotic complex system is presented. Furthermore, the proposed cryptosystem have obvious advantages of large key space and high security.

Digital-twin-driven production logistics synchronization system for vehicle routing problems with pick-up and delivery in industrial park

ABSTRACT With the continuous pressures on customized requirements demands, large-scale multiple-stage production systems in industrial parks are suffering from the complex dynamic impact of uncertainties. These uncertainties are caused by the randomness of customer orders, dynamics of production demand, the uncertainty of production resources, etc. It brings enormous challenges to system operation and decision-making for the Production Logistics (PL) system, which includes how to acquire the full-scale, accurate and real-time execution status of the PL system, and how to make a systematic and adaptability decision by synchronizing every stage in the system under the uncertainties. Taking the PL system of an industrial park as the research object, this paper analyses the problems and challenges in the operation mode of the transportation stage, the perception of dynamics, and the synchronization management and control between the related stages in the dynamic environment. Then the mode of Vehicle Routing Problems with Pick-up and Delivery (VRPDP) is improved and a digital twin-driven decision-making information architecture is proposed, meanwhile, a real-time dynamic synchronization control mechanism is developed to synchronizing the PL system through the transportation stage. Finally, a case study is proposed to verify the feasibility and validity of the proposed method under dynamic disturbance.

Computational Simulation – Design & Analysis Functionality of Grid Connected GC Photo-Voltaic PV System

The electrical power produced via photo-voltaic (PV) array relies largely on weather conditions. In this paper, we presented a continuous state functionality of the PV grid-connected (GC) unit at distinct solar irradiances. The presented model is developed on MATLAB environment, which includes the PV array using an improved perturb and observe (MP&O) tracking system interconnected to DC to DC boosting conversion application, the 3-phase 3 level electric power inverter which usually associated to the utility grid using low pass filter, coupled transformer and synchronous control mechanism of PV inverter. The presented model is lab-created within day-by- day climatic conditions to estimate its working mechanism. The simulation results of the proposed system satisfy requirements grid performance with high power quality. In the proposed work number of cell modules used 90, number of parallel strings 60, maximum PV output voltage1000wb/m2 at 274 V, minimum voltage at 600 wb/m2 at 250V, maximum power at 1000 wb/m2-100 kw, and minimum power at 600 wb/m2-57 kw.

An efficient iterative graph data processing framework based on bulk synchronous parallel model

SummaryGraph data processing has been widely applied in a variety of domains such as industry, science, social network, and so on. It therefore has stimulated many efforts devoted to this area. To embrace the fast development trend of big graph data, graph data processing based on Pregel‐like systems has been regarded as one of the most promising ways and has widely attracted the attention of researchers. However, it still remains in its early stage and there still exist many challenges. In Pregel, the superstep synchronization is time consuming as the graph data iteration operation requires multiple synchronizations. Furthermore, the graph data partition strategy adopted by Pregel fails to support load balancing, therefore causing the increase of network I/O overhead as the scale of graph data grows. To address these issues, this paper presents an efficient computational framework for graph data processing based on the bulk synchronous parallel model. The global synchronization control mechanism is improved by determining the start time of the next round of superstep through counting the number of global message files. Furthermore, an improved graph data partition mechanism based on a balanced hash method is proposed to reduce the communication overhead between different partitions of sub‐graph computational tasks. We also re‐design the PageRank algorithm to verify the effectiveness of the proposed framework. Experimental results on different real‐world datasets verify the efficiency of our proposed framework as it outperforms Giraph (an open source Pregel‐like system) by 58%−69%, and achieves 10×−17× performance improvement over Hadoop.

Signal Transmission of Biological Reaction-Diffusion System by Using Synchronization.

Molecular signal transmission in cell is very crucial for information exchange. How to understand its transmission mechanism has attracted many researchers. In this paper, we prove that signal transmission problem between neural tumor molecules and drug molecules can be achieved by synchronous control. To achieve our purpose, we derive the Fokker-Plank equation by using the Langevin equation and theory of random walk, this is a model which can express the concentration change of neural tumor molecules. Second, according to the biological character that vesicles in cell can be combined with cell membrane to release the cargo which plays a role of signal transmission, we preliminarily analyzed the mechanism of tumor-drug molecular interaction. Third, we propose the view of synchronous control which means the process of vesicle docking with their target membrane is a synchronization process, and we can achieve the precise treatment of disease by using synchronous control. We believe this synchronous control mechanism is reasonable and two examples are given to illustrate the correctness of our results obtained in this paper.

Internet of Things-based real-time production logistics synchronization mechanism and method toward customer order dynamics

The reluctance or incapability of further increasing production resources has made many enterprises suffering from high resource-workload situation. Production dynamics thus cannot be resolved by single resource independently, yet have to make an integral use of the adjustable capability of multiple resources of the whole system in a synchronized way. This paper considers a dynamic production logistics (PL) process comprising multiple independently operated PL stages, which adopts Internet of Things to capture real-time execution dynamics and rely on plan (re)scheduling and cloud-based resources re-configuration to cope with dynamics. A generic dynamic production logistics synchronization (PLS) solution is proposed. Qualitatively, a multi-phase multi-stage multi-degree synchronization control mechanism is put forward toward a PL system with generic structure and typical execution dynamics. Quantitatively, collaborative optimization is applied to assist the PLS to obtain the synchronization results. With a real-life case study, the effectiveness of the proposed mechanism and method has been verified. A set of sensitivity analysis is also conducted toward dynamics of different degree and different time, which provides significant managerial implication to PL managers to better deal with dynamics.

Study on the Development of the Medium-Scale Gas Explosion Integrated Testing System

Abstract Based on the characteristics of gas explosion in coal mines, the medium-scale gas explosion integrated testing system is developed. The integrated testing system is comprised of shock tube, testing section, explosion venting capsule, measuring instruments system, and other auxiliary equipments. The measuring instruments system can detect parameters of explosions and flow fields by the study of coupling relation between explosion and flow field. The synchronous control mechanism is employed to ensure parameters being simultaneously detected. The testing section can be adjusted to matching different testing requirements. Results of testing are useful to the prevention of gas explosion, emergency response and accident investigation.

Haptic Media Synchronization for Remote Surgery through Simulation

Network delay affects the operational instability of haptic displays for telehaptic remote surgery applications using simulation. A synchronization control mechanism for haptic media reduces network delay's effects and enhances telehaptic capability in these applications

Performance evaluation of compromised synchronization control mechanism for distributed virtual environment (DVE)

Synchronization in a distributed virtual environment (DVE) involves mechanisms to ensure a consistent view of a virtual world for all participants. Most applications in the DVE are related to collaborative activities that include non-contention and contention cases. Using transmission of update messages is suitable enough to support synchronization for only non-contention activity. The contention activity requires an additional mechanism to control accessing a common object for synchronization. In this paper, we present the compromised synchronization control mechanism to support both non-contention and contention activities. The mechanism employs frequent update event and multiple-lock checking to control the synchronization. Frequent update event is used to support a dynamic virtual world for non-contention activity. Multiple-lock checking is embedded to ensure consistency when accessing the common object is required simultaneously for the contention event. Performance measurement of the compromised synchronization is provided by simulation in terms of locking time, sampling event, number of logical processes, and traffic tolerance. Prototype application is also implemented to compare the result in a small scale level. Based on the simulation and experimental results, the compromised sychronization control mechanism is capable to support up to 100 participants for the non-contention activity. It provides a good performance of supporting the contention activity in a small scale. The mechanism is considered suitable for collaborative application where contention is considered a critical event.

Analysis of synchronization algorithms with time-out control over networks with exponentially symmetric delays

We study the performance of a class of time-offset estimation algorithms for synchronization of master-slave nodes based on asynchronous transfer of timing cells when GPS is not used. We implement a synchronization control mechanism based on cell acknowledgment time-out (TO) with wait or no wait options. We analyze the mechanism reliability and performance parameters over symmetric links using an exponential cell delay variation model. We show that the maximum-likelihood offset estimator does not exist for the exponential likelihood function. We analytically provide RMS error result comparisons for five ad hoc offset estimation algorithms: the median round delay, the minimum round delay, the minimum link delay (MnLD), the median phase, and the average phase. We show that the MnLD algorithm achieves the best accuracy over symmetric links without having to impose a strict TO control, which substantially speeds up the algorithm. We also discuss an open-loop estimation updating mechanism based on standard clock models.

Synchronization of multimedia data for a multimedia news-on-demand application

We present a complete software control architecture for synchronizing multiple data streams generated from distributed media-storing database servers without the use of a global clock. Independent network connections are set up to remote workstations for multimedia presentations. Based on the document scenario and traffic predictions, stream delivery scheduling is performed in a centralized manner. Certain compensation mechanisms at the receiver are also necessary due to the presence of random network delays. A stream synchronization protocol (SSP) allows for synchronization recovery, ensuring a high quality multimedia display at the receiver. SSP uses synchronization quality of service parameters to guarantee the simultaneous delivery of the different types of data streams. In the proposed architecture, a priority-based synchronization control mechanism for MPEG-2 coded data streams is also provided. A performance modeling of the SSP is presented using the DSPN models. Relevant results such as the effect of the SSP, the number of synchronization errors, etc., are obtained.