IEEE

A Predefined-Time Fuzzy Adaptive RNN for Time-Dependent Bound-Constrained Nonlinear Optimization With Applications

Abstract: Recently, recurrent neural network (RNN) models have been extensively investigated for addressing time-dependent nonlinear optimization problems. However, few existing RNN models take ...
IEEE

Self-Organizing Model Predictive Control for Constrained Nonlinear Systems

Abstract: Model predictive control (MPC) is a practical method for addressing control issues in constrained systems. System identification and constrained optimization are two key problems that affect ...
SciELO

A Heuristic Algorithm Based on Line-up Competition and Generalized Pattern Search for Solving Integer and Mixed Integer Non-linear Optimization Problems

The global optimization of integer and mixed integer non-linear problems has a lot of applications in engineering. In this paper a heuristic algorithm is developed using line-up competition and ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
C&EN

Constrained Bayesian Optimization for the Deposition Conditions of Doped a-Si:H with High Passivation Performance for SHJ Solar Cells

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
GitHub

andreas-apostolatos/Engineering-Design-Optimization-using-MATLAB-and-Python

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...
Scientific Research Publishing

Klamka, J. (2008) Constrained Controllability of Semilinear Systems with Delays. Nonlinear Dynamics, 56, 169-177.

ABSTRACT: This paper investigates the relative controllability problem of semilinear stochastic integro-differential systems with a variable delay in control. Under suitable conditions, it is shown ...
Frontiers

Optimum design of double tuned mass dampers using multiple metaheuristic multi-objective optimization algorithms under seismic excitation

The tuned mass damper is one of the most frequently employed structural control devices for mitigating dynamic vibrations in structures subjected to earthquake ground motions. Conventional tuned mass ...
Frontiers

Two-stage distributionally robust optimization operation of virtual power plant considering the virtual energy storage of electric vehicles

1 Economic and Technological Research Institute of Jilin Electric Power Co., LTD., Changchun, China 2 State Grid Jilin Electric Power Co., LTD., Changchun, China Virtual Power Plant (VPP) is a key to ...