Maintaining environmental conditions for proper plant growth in greenhouses requires
managing a variety of factors; ventilation is particularly important because inside …

In this paper, nonlinear system identification using Bayesian network has been implemented
to discover open-loop lateral-directional aerodynamic model parameters of an agile aircraft …

A hybrid model, also called a gray-box model, utilizes a black-box and white-box model
simultaneously to capture the behaviors of a complex system. When available data are not …

This paper proposes a supplementary control for tighter control of the air–fuel ratio (AFR),
which directly affects the environmental emissions of thermal power plants. Dynamic matrix …

In this paper, we propose a new method for auto-tuning an aircraft maneuvering controller
using black-box optimization. Assuming that we do not have a deep understanding of the …

This paper presents a new Data-Driven Teaching Learning-Based Optimization (DDTLBO)
method used to improve the self-balancing and position control of a two-degree of freedom …

The well known back-propagation algorithm has revolutionized machine learning and
artificial intelligence, particularly in neural network applications. Although gradient descent …

Virtually every controller and component involves a number of parameters whose correct
tuning can be critical to ensure satisfactory performance. Because the manual tuning of …

This study aims to develop a simulator for modeling engagements between fighters and
missiles in Beyond Visual Range (BVR) air combat scenarios using DEVS (Discrete Event …

Many applications in important problem domains such as machine learning and computer
vision are streaming applications that take a sequence of inputs over time. It is challenging …