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Evolved Algorithm and Vibration Stability for Nonlinear Disturbed Security Systems

             

摘要

In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to maintain the stability of the system.The sustainable stability problem can be reformulated as a Linear Matrix Inequalities(LMI)problem.The key to guaranteeing the stability of the system as a whole is to find a common symmetrically positive definite matrix for all subsystems.Furthermore,the Evolved Bat Algorithm(EBA)is employed to replace the pole assignment method and the conventional mathematical methods for solving the LMI.The EBA is utilized to find feasible solutions in terms of the energy equation.The experimental results show that the EBA is capable of providing proper solutions,which satisfy the sustainability and stability criteria,after a short period of recursive computing.

著录项

  • 来源
    《声音与振动(英文)》 |2019年第2期|P.29-37|共9页
  • 作者单位

    Department of Electrical and Computer Engineering North South University Dhaka-1229 Bagladesh;

    Department of Data Science Monash University Melbourne Victoria Australia;

    Dyson School of Design Engineering Imperial College London South Kensington Campus London SW72AZ UK;

    Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia;

    Faculty of Mathematics and Natural Sciences Albertus-Magnus-Platz 50923 K?ln German;

    Industrial Technology Research Institute 31057 Hsinchu Taiwan Department of Artificial Intelligence University of Maryland Maryland 20742 USA.;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 数学分析;
  • 关键词

    Fuzzy energy equation; swarm intelligence; evolved bat algorithm;

    机译:模糊能量方程;群智能;进化蝙蝠算法;
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