
A Novel Wavelet-based Optimal Linear Quadratic Tracker for Time-varying Systems with Multiple Delays
Author(s) -
Iman Malmir
Publication year - 2021
Publication title -
statistics, optimization and information computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 12
eISSN - 2311-004X
pISSN - 2310-5070
DOI - 10.19139/soic-2310-5070-1228
Subject(s) - wavelet , chebyshev filter , control theory (sociology) , controller (irrigation) , optimal control , quadratic equation , computer science , tracking (education) , linear system , mathematics , mathematical optimization , control (management) , artificial intelligence , psychology , pedagogy , mathematical analysis , geometry , agronomy , biology , computer vision
A novel method for solving optimal tracking control of linear quadratic time-varying systems with differentforms of time delays in state and input variables and with constraints is presented in this paper. Using the concepts of two powerful wavelets, Legendre and Chebyshev wavelets, we convert the optimal tracking problem to a static optimization one. The method is presented in a general from by which one can utilize it by other wavelets. The proposed method has the ability to solve the problems with systems of integer and fractional orders. After determining open-loop solutions of time-delay tracking systems, closed-loop suboptimal controller is designed. A highly successful wavelet-based suboptimal controller is introduced in this work. This alternative method is applied on some optimal tracking systems.