علاءالدین ملک
گروه ریاضی کاربردی دانشگاه تربیت مدرس
[ 1 ] - کنترل هماهنگ ساز با استفاده از الگوریتم برای سازه تحت بار زلزله با وجود دینامیک مدل نشده در سازه
در این مقاله از کنترل هماهنگ‌ساز جهت سازه پنج طبقه Kajima Shizuoka تحت رکورد زلزله السنترو استفاده نموده و موفقیت آن در حفاظت لرزه‌ای ساختمان مورد ارزیابی قرار گرفته است. با توجه به جفت هماهنگ‌ساز، مقادیر اندازه تغییرمکان ، تغییرمکان نسبی بین طبقات(ε ) و خطای موقعیت توأم EC را موردبررسی قرار داده‌ایم. با استفاده از معادله دیفرانسیل مربوط به معادله حرکت و معادله حالت، ضرایب را مشخص و سپس با توج...
[ 2 ] - PROJECTED DYNAMICAL SYSTEMS AND OPTIMIZATION PROBLEMS
We establish a relationship between general constrained pseudoconvex optimization problems and globally projected dynamical systems. A corresponding novel neural network model, which is globally convergent and stable in the sense of Lyapunov, is proposed. Both theoretical and numerical approaches are considered. Numerical simulations for three constrained nonlinear optimization problems a...
[ 3 ] - Optimization with the time-dependent Navier-Stokes equations as constraints
In this paper, optimal distributed control of the time-dependent Navier-Stokes equations is considered. The control problem involves the minimization of a measure of the distance between the velocity field and a given target velocity field. A mixed numerical method involving a quasi-Newton algorithm, a novel calculation of the gradients and an inhomogeneous Navier-Stokes solver, to find the opt...
[ 4 ] - A Recurrent Neural Network Model for Solving Linear Semidefinite Programming
In this paper we solve a wide rang of Semidefinite Programming (SDP) Problem by using Recurrent Neural Networks (RNNs). SDP is an important numerical tool for analysis and synthesis in systems and control theory. First we reformulate the problem to a linear programming problem, second we reformulate it to a first order system of ordinary differential equations. Then a recurrent neural network...
[ 5 ] - Solving Linear Semi-Infinite Programming Problems Using Recurrent Neural Networks
Linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints. In this paper, to solve this problem, we combine a discretization method and a neural network method. By a simple discretization of the infinite constraints,we convert the linear semi-infinite programming problem into linear programming problem. Then, we use...
[ 6 ] - Effect of sound classification by neural networks in the recognition of human hearing
In this paper, we focus on two basic issues: (a) the classification of sound by neural networks based on frequency and sound intensity parameters (b) evaluating the health of different human ears as compared to of those a healthy person. Sound classification by a specific feed forward neural network with two inputs as frequency and sound intensity and two hidden layers is proposed. This process...