• Title/Summary/Keyword: k-weighted fractional integral operator

Search Result 4, Processing Time 0.019 seconds

Reverse Inequalities through k-weighted Fractional Operators with Two Parameters

  • Bouharket Benaissa;Noureddine Azzouz
    • Kyungpook Mathematical Journal
    • /
    • v.64 no.1
    • /
    • pp.31-46
    • /
    • 2024
  • The aim of this paper is to present an approach to improve reverse Minkowski and Hölder-type inequalities using k-weighted fractional integral operators a+𝔍𝜇w with respect to a strictly increasing continuous function 𝜇, by introducing two parameters of integrability, p and q. For various choices of 𝜇 we get interesting special cases.

ON SOME WEIGHTED HARDY-TYPE INEQUALITIES INVOLVING EXTENDED RIEMANN-LIOUVILLE FRACTIONAL CALCULUS OPERATORS

  • Iqbal, Sajid;Pecaric, Josip;Samraiz, Muhammad;Tehmeena, Hassan;Tomovski, Zivorad
    • Communications of the Korean Mathematical Society
    • /
    • v.35 no.1
    • /
    • pp.161-184
    • /
    • 2020
  • In this article, we establish some new weighted Hardy-type inequalities involving some variants of extended Riemann-Liouville fractional derivative operators, using convex and increasing functions. As special cases of the main results, we obtain the results of [18,19]. We also prove the boundedness of the k-fractional integral operator on Lp[a, b].

Design of Fractional Order Controller Based on Particle Swarm Optimization

  • Cao, Jun-Yi;Cao, Bing-Gang
    • International Journal of Control, Automation, and Systems
    • /
    • v.4 no.6
    • /
    • pp.775-781
    • /
    • 2006
  • An intelligent optimization method for designing Fractional Order PID(FOPID) controllers based on Particle Swarm Optimization(PSO) is presented in this paper. Fractional calculus can provide novel and higher performance extension for FOPID controllers. However, the difficulties of designing FOPID controllers increase, because FOPID controllers append derivative order and integral order in comparison with traditional PID controllers. To design the parameters of FOPID controllers, the enhanced PSO algorithms is adopted, which guarantee the particle position inside the defined search spaces with momentum factor. The optimization performance target is the weighted combination of ITAE and control input. The numerical realization of FOPID controllers uses the methods of Tustin operator and continued fraction expansion. Experimental results show the proposed design method can design effectively the parameters of FOPID controllers.