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  • Open Access

    ARTICLE

    Decoupling Algorithms for the Gravitational Wave Spacecraft

    Xue Wang1,2, Weizhou Zhu1,2, Zhao Cui2,3, Xingguang Qian2,3, Jinke Yang1,2, Jianjun Jia1,2,*, Yikun Wang2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 325-337, 2024, DOI:10.32604/cmes.2024.048804

    Abstract The gravitational wave spacecraft is a complex multi-input multi-output dynamic system. The gravitational wave detection mission requires the spacecraft to achieve single spacecraft with two laser links and high-precision control. Establishing one spacecraft with two laser links, compared to one spacecraft with a single laser link, requires an upgraded decoupling algorithm for the link establishment. The decoupling algorithm we designed reassigns the degrees of freedom and forces in the control loop to ensure sufficient degrees of freedom for optical axis control. In addressing the distinct dynamic characteristics of different degrees of freedom, a transfer function compensation method is used in… More >

  • Open Access

    ARTICLE

    MLD-MPC Approach for Three-Tank Hybrid Benchmark Problem

    Hanen Yaakoubi1, Hegazy Rezk2, Mujahed Al-Dhaifallah3,4,*, Joseph Haggège1

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3657-3675, 2023, DOI:10.32604/cmc.2023.034929

    Abstract The present paper aims at validating a Model Predictive Control (MPC), based on the Mixed Logical Dynamical (MLD) model, for Hybrid Dynamic Systems (HDSs) that explicitly involve continuous dynamics and discrete events. The proposed benchmark system is a three-tank process, which is a typical case study of HDSs. The MLD-MPC controller is applied to the level control of the considered tank system. The study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating constraints. This feature of MLD modeling is very advantageous when an MPC controller synthesis… More >

  • Open Access

    ARTICLE

    Dynamical Model to Optimize Student’s Academic Performance

    Evren Hincal, Amna Hashim Alzadjali

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 393-411, 2022, DOI:10.32604/cmes.2022.019781

    Abstract Excellent student’s academic performance is the uppermost priority and goal of educators and facilitators. The dubious marginal rate between admission and graduation rates unveils the rates of dropout and withdrawal from school. To improve the academic performance of students, we optimize the performance indices to the dynamics describing the academic performance in the form of nonlinear system ODE. We established the uniform boundedness of the model and the existence and uniqueness result. The independence and interdependence equilibria were found to be locally and globally asymptotically stable. The optimal control analysis was carried out, and lastly, numerical simulation was run to… More >

  • Open Access

    ABSTRACT

    A new method for the dynamical symulation of mechanical systems using Matlab-Simulink

    Dǎnuţ Receanu1, Emil Budescu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.14, No.1, pp. 23-28, 2010, DOI:10.3970/icces.2010.014.023

    Abstract The paper presents a new method for solving with precision of the differential equations of mechanical systems with two, three or more degrees of freedom. Always, the mechanical systems have coupled unknown quantities of differential equations. The method uncouples the unknown quantities using a graphic program: MATLAB- simulink. More >

  • Open Access

    ARTICLE

    A Dynamical Modeling to Study the Adaptive Immune System and the Influence of Antibodiesin the Immune Memory

    Alexandre de Castro1,2, Carlos Frederico Fronza2, Domingos Alves2,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.45, No.1, pp. 83-96, 2009, DOI:10.3970/cmes.2009.045.083

    Abstract Immunological systems have been an abundant inspiration to contemporary computer scientists. Problem solving strategies, stemming from known immune system phenomena, have been successfully applied to chall enging problems of modern computing. Simulation systems and mathematical modeling are also beginning use to answer more complex immunological questions as immune memory process and duration of vaccines, where the regulation mechanisms are not still known sufficiently (Lundegaard, Lund, Kesmir, Brunak, Nielsen, 2007). In this article we studiedin machinaa approach to simulate the process of antigenic mutation and its implications for the process of memory. Our results have suggested that the durability of the… More >

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