NEW RESULTS ON FINITE-TIME GUARANTEED COST CONTROL OF UNCERTAIN NONLINEAR FRACTIONAL-ORDER NEURAL NETWORKS WITH TIME-VARYING DELAY

  • Dang Thi Hoi Hung Yen University of Technology and Education
  • Nguyen Thi Thu Hang Hung Yen University of Technology and Education
  • Le Hai Kien Hung Yen University of Technology and Education
  • Tran Ngoc Tuan Hung Yen University of Technology and Education
Keywords: finite-time stability, guaranteed cost control, linear matrix inequalities, uncertain fractionalorder systems, time-varying delays

Abstract

In this paper, we study the problem of guarantees cost control with finite-time for a class of uncertain fractional-order nonlinear neural netwoks with time-varying delay. A quadratic cost function is considered as a performance measure for the closed-loop system. By using linear matrix inequalities (LMIs) and the Laplace transform, several new sufficient conditions are proposed for designing a state feedback controller to ensure that the closed-loop system is finite-time stable and meets the desired performance cost level

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Published
2024-09-15
How to Cite
Dang Thi Hoi, Nguyen Thi Thu Hang, Le Hai Kien, & Tran Ngoc Tuan. (2024). NEW RESULTS ON FINITE-TIME GUARANTEED COST CONTROL OF UNCERTAIN NONLINEAR FRACTIONAL-ORDER NEURAL NETWORKS WITH TIME-VARYING DELAY. Journal of Applied Science and Technology, 43, 64-70. Retrieved from http://tapchi.utehy.edu.vn/index.php/jst/article/view/733