Autonomous Internet of Things predictive control application based on wireless networked multi-agent topology and embedded operating system

Author(s):  
Rihab Kouki ◽  
Alexandre Boe ◽  
Thomas Vantroys ◽  
Faouzi Bouani

This article investigates the problem of data-driven cooperative tracking for a class of multi-agent linear systems under imperfect wireless communication. An autonomous Internet of Things predictive control application is designed to drive a robot with one wheel. The proposed methodology has been developed using Revolutionary Internet of Things Operating System running on STM32 and radio frequency communication shields over the User Datagram Protocol. To evaluate the performance of the predictive control algorithm, the User Datagram Protocol has been used due to the high number of packet losses in the communication channel. A robust analysis of Internet of Things technology among agents, combined with a network predictive control strategy against packet loss, limited bandwidth and attack links is carried out. The main feature of this methodology is that it is possible to achieve consensus monitoring and stability of closed-loop control systems. The efficiency of the proposed design approach is demonstrated by several experimental scenarios.

Author(s):  
Rihab Kouki ◽  
Hichem Salhi ◽  
Faouzi Bouani

This article is concerned with the design of wireless-networked control framework based on Internet of Things technology and predictive control strategy to remote control a thermal benchmark system. In order to improve the control performance of systems, an autonomous real-time solution is proposed for handling network problems. The adopted control strategy is divided into two cooperative parts under a master–slave architecture, in which two STM32 microcontrollers are investigated. The slave board is connected closely to the process and the master one is a distant controller. The microcontrollers communicate wirelessly through the Transmission Control Protocol/Internet Protocol. In the master board, a model predictive output-estimator-based controller is designed to control wirelessly the benchmark system, even though the incoming outputs from the slave board are lost. However, a buffered structure is implemented on the slave board to compensate the input losses of the arrived control sequences. The performance of the proposed wireless-networked predictive control compensation strategy for packet loss and perturbation handling in the wireless-networked control system in this work is verified through different experimentation conditions. Also, a comparative study with a wireless-networked proportional integral controller is performed to demonstrate the effectiveness of wireless-networked predictive control strategy for practical Internet of Things applications.


Author(s):  
Sufian Sufian ◽  
Didik Setiyadi

Abstrak: Keamanan salah satu dari kehidupan manusia untuk memberikan kenyamanan dalam melakukan aktivitasnya. sebuah sistem yang akan membantu untuk melakukan pengawasan terhadap lingkungan sekitar yang sebelumnya dalam proses pemantauan dilakukan secara fisik dan mebutuhkan banyak tenaga untuk melakukan pengecekan. Sistem keamanan berbasis teknologi Internet Of things dan aplikasi Blynk sebagai remote kontrol ini dapat membantu dalam proses pengawasan dari kejahatan dan bencana yang nantinya ketika ada sesuatu, misalnya ada yang masuk kedalam ruangan tersebut tanpa sepengetahuan maka teknologi tersebut mengirim notifikasi terhadap pegguna.   Kata kunci: Keamanan, Internet of Things, Aplikasi Blynk   Abstract: Security is one of human life to provide comfort in carrying out its activities. a system that will help to supervise the surrounding environment which was previously carried out physically and requires a lot of energy to check. The security system based on Internet Of things technology and the remote control application as a remote control can help in the process of monitoring of crimes and disasters which later when something happens, for example someone enters the room without the knowledge, the technology sends a notification to the user. . Keywords: Security, Internet of Things, Blynk Application


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4041
Author(s):  
Anca Maxim ◽  
Constantin-Florin Caruntu

Following the current technological development and informational advancement, more and more physical systems have become interconnected and linked via communication networks. The objective of this work is the development of a Coalitional Distributed Model Predictive Control (C- DMPC) strategy suitable for controlling cyber-physical, multi-agent systems. The motivation behind this endeavour is to design a novel algorithm with a flexible control architecture by combining the advantages of classical DMPC with Coalitional MPC. The simulation results were achieved using a test scenario composed of four dynamically coupled sub-systems, connected through an unidirectional communication topology. The obtained results illustrate that, when the feasibility of the local optimization problem is lost, forming a coalition between neighbouring agents solves this shortcoming and maintains the functionality of the entire system. These findings successfully prove the efficiency and performance of the proposed coalitional DMPC method.


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