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

Abstract

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.

Tri-adsorption cooling system driven by waste heat from automobile with Programmable Logic Controller (PLC): A waste-to-energy experimental setup

“…Ref. [19] would be very promising. Also, preheat control and smart digitizing of the radiator and intercooler processes of the adsorption system to improve overall utilization e ciency ( ) can be of prime importance too.…”

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

“…Increased classification performance by detecting malicious attacks with CrowdNet, comparison with conventional neural networks and other machine learning techniques. Kouki et al [71] The topic of mutual data monitoring under the imperfect of wireless networking has been examined in a class of multi-agent linear systems. A prediction control program for the autonomous Internet of Things was developed to drive a single-wheel robot.…”

Quasi-consensus of Markovian switching heterogeneous multi-agent systems with cooperative–competitive interactions and parameter uncertainties

“…The multi-agent system in unmanned aerial vehicle (UAV), formation control, rendezvous, flocking, and sensor networks has been widely used. 1–8…”

“…The multiagent system in unmanned aerial vehicle (UAV), formation control, rendezvous, flocking, and sensor networks has been widely used. [1][2][3][4][5][6][7][8] It is worth noting that most of the current results on the consensus of multi-agent systems assume that the interaction between agents is a cooperative relationship. The consensus of second-order multi-agent with cooperative interactions was considered in Sun et al 9 In Zhu et al, 10 cooperative interactions and switching topologies were considered.…”