International Carpathian Control Conference 

About: International Carpathian Control Conference is an academic conference. The conference publishes majorly in the area(s): Control system & Control theory. Over the lifetime, 1278 publications have been published by the conference receiving 5334 citations.

Using the ESP32 Microcontroller for Data Processing

Abstract: This article deals with experiences with the development of applications of the ESP32 microcontrollers and provides a comprehensive review of the possibilities of applications development on this platform in the area of data measurement and processing. Microcontrollers usually connect with IoT modules and other smart sensors and provide data to the superior system. This paper also describes implementation of application with the version of connected OLED display and with ESP32 Wrover development board with integrated display.

Mobile development tools and cross-platform solutions

Abstract: The usage of tablet and mobile devices has growing potencial. The fragmented mobile landscape presents considerable challenges around application development. The key element for publishing software applications in Apple's iOS or Google's Android operating system is to build them with software development kit. HTML5 web apps are emerging as an alternative. This paper deals with available frameworks, cross-platform solutions, mobile development tools, summary of mechanical engineering apps and development of mobile dictionary of the English-Czech automatic control terms.

On a Regular Fractional Sturm-Liouville Problem with derivatives of order in (0,1)

Abstract: In this paper, we define a Fractional Sturm-Liouville Operator (FSLO), introduce a regular Fractional Sturm-Liouville Problem (FSLP), and investigate the properties of the eigenfunctions and the eigenvalues of the operator. We demonstrate that these properties are similar and in some cases identical to those for Integer Sturm-Liouville Operator. We briefly introduce a Reflected Fractional Sturm-Liouville Operator (RFSLO) and demonstrate that neither the FSLO nor the RFSLO are symmetric. We shall consider the topic of reflection symmetry in a subsequent paper.

Human activity recognition using neural networks

Abstract: This paper presents research made for independent daily life assistance of elderly or persons with disabilities using IoT technologies. Our scope is to develop a system that allows living for as long as possible in familiar environment. This will be possible by wider spread of assistive technologies and the internet of things (IoT). We aim to bring together latest achievements in domain of Internet of things and assistive technologies in order to develop a complex assistive system with adaptive capability and learning behavior. We can use IoT technologies to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for a medical diagnosis. We present the state of our work related to the development of an assistive assembly consisting of a smart and assistive environment, a human activity and health monitoring system, an assistive and telepresence robot, together with the related components and cloud services.

Comparison of PID controller tuning methods: analytical/classical techniques versus optimization algorithms

Abstract: Level control is one of the most used processes in industries. However, it can present nonlinearities, which can make difficult its project. The PID controller is still a commonly used topology due to the non-necessity to know the full system dynamics, only the modelling that well describes the system behavior. The objective of this work is to identify, control and audit a level tank system from a SMAR® didactic plant. Firstly, system identification techniques (Smith, Broida, Viteckova and Artificial Neural Network) were used to perform the controllers tuning later, approaching it to a First Order plus Dead Time transfer function (FODT). To tuning PI/PID controllers, optimization methods were used, such as Bat Algorithm, Bacterial Foraging Optimization, Genetic Algorithm, Bee Swarm, Bat Algorithm, Ant Colony Optimization, and Shuffled Frog-Leaping. Beyond optimization methods, analytical/classical PI/PID controllers tuning techniques (Cohen-Coon, Hallman, Internal Model Control (IMC), Chien-Hrones-Reswick (CHR), and Integral of Absolute Error (ITAE)) were also introduced to do this parameterization. In order to compare the simulated and experimental results, non-intrusive performance indexes based on integral errors (IAE, ISE, ITAE and ITSE) were introduced to evaluate and choose the best performance. The results were interesting, showing that the classical identification technique Broida had the best response. For PID controllers tuning, optimization algorithms overcame analytical/classical tuning techniques performance, proving a better execution, performed by Shuffled Frog-Leaping technique.