In collaboration with Payame Noor University and the Iranian Society of Instrumentation and Control Engineers
Control and Optimization
Optimality Conditions for Properly Efficient Solutions of Nonsmooth Multiobjective GSIP

Ali Asghar Hojatifard; Nader Kanzi; ‎Shahriar Farahmand Rad

Volume 9, Issue 1 , May 2024, , Pages 203-219

https://doi.org/10.30473/coam.2023.67823.1234

Abstract
  This paper aims to establish first-order necessary optimality conditions for non-smooth multi-objective generalized semi-infinite programming problems‎. ‎These problems involve inequality constraints whose index set depends on the decision vector‎, ‎and all emerging functions are assumed ...  Read More

Adjusting the Coefficients of the PI^α D^β Controllers Using Iterative Feedback Tuning (IFT) Algorithm

Mohammad Ali Vali; Mahdi Mashayekhi Esfichar; Shahriar Farahmand Rad

Volume 5, Issue 2 , July 2020, , Pages 39-64

https://doi.org/10.30473/coam.2021.56679.1156

Abstract
  Iterative feedback tuning (IFT) is an algorithm for adjusting the coefficients of the integer-order type proportional-integral-derivative (PID) controllers without needing a system model‎. ‎The IFT algorithm is performed iteratively with the aim of optimizing the control coefficients at each ...  Read More

Characterization of Properly Efficient Solutions for Convex Multiobjective Programming with Nondifferentiable vanishing constraints

Javad Shaker Ardakani; shahriar Farahmand Rad; Nader Kanzi

Volume 3, Issue 2 , January 2018, , Pages 49-58

https://doi.org/10.30473/coam.2019.42442.1094

Abstract
  This paper studies the convex multiobjective optimization problem with vanishing constraints‎. ‎We introduce a new constraint qualification for these problems‎, ‎and then a necessary optimality condition for properly efficient solutions is presented‎. ‎Finally by imposing some ...  Read More