The main contribution of this paper is the proposal a recent hysteresis dynamic model which successfully employed within posited signal modulator. modulation signals commonly required stage in many engineering applications, such as telecommunications, power electronics, and control, among others. In paper, effectiveness modulator based on well-known Delta when it contains system its structure p...

This paper is devoted to the study the first-order behavior of the value function of a parametric optimal control problem with linear constraints and a nonconvex cost function. By establishing an abstract result on the Mordukhovich subdifferential of the value function of a parametric mathematical programming problem, we derive a formula for computing the Mordukhovich subdifferential of the val...

ABSTRACT This paper presents a mathematical and graphical formalism for modeling computational engineering design processes, particularly to enhance variant product design in industries. The proposed modeling formalism provides a methodology for transforming a textual problem statement into a mathematical, parametric model. The explicit representation of the designer’s solution strategy is also...

We consider a parametric stochastic quasi-variational inequality problem (SQVIP for short) where the underlying normal cone is defined over the solution set of a parametric stochastic cone system. We investigate the impact of variation of the probability measure and the parameter on the solution of the SQVIP. By reformulating the SQVIP as a natural equation and treating the orthogonal projectio...

Cylindrical gears have a wide range of applications in the manufacturing industry because of their advantages. And it is of great significance to study the design techniques and optimization methods of cylindrical gears. In this paper, parametric primary design of single-stage helical gear drive is discussed. And parametric design of the cylindrical gear is carried out by using optimized design...

Mathematical optimization is at the core of many problems in systems biology: (1) as the underlying hypothesis for model development, (2) in model identification, or (3) in the computation of optimal stimulation procedures to synthetically achieve a desired biological behavior. These problems are usually formulated as nonlinear programing problems (NLPs) with dynamic and algebraic constraints. ...