Abstract

In this work, an event-based control scheme is presented. The proposed system has been developed to solve control problems appearing in the field of Networked Control Systems (NCS). Several models and methodologies have been proposed to measure different resources consumptions. The use of bandwidth, computational load and energy resources have been investigated. This analysis shows how the parameters of the system impacts on the resources efficiency. Moreover, the proposed system has been compared with its equivalent discrete-time solution. In the experiments, an application of NCS for mobile robots navigation has been set up and its resource usage efficiency has been analysed.

Highlights

  • In recent years, Networked Control Systems (NCS) have been gaining importance in the control community [1]

  • An analysis of the behaviour of the event-based control schemes presented in this paper is carried out as well as a comparison with their equivalent discrete-time implementation

  • The event-based control architectures presented in this work can be an alternative to the classical discrete-time control systems

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Summary

Introduction

In recent years, Networked Control Systems (NCS) have been gaining importance in the control community [1]. The basics of the MBNCS have been developed in [5,6], and they have been considered in networks of coupled systems in [7] using periodic communication Another approach to deal with this problem has been built on an event-based feedback scheme in NCS [8,9,10,11]. In [12,13] these problems have been investigated where a new control scheme has been proposed which are dynamically adjusted depending on the conditions of the environment In both proposals, the algorithms work with an estimation of the noise previously calculated. An overview on sampled-data-based event-triggered control and filtering for networked systems has been presented in [20].

Event-Based Control Overview
Event-Based Sampling Schemes
Send-On-Delta
Integral Criterion
Effectiveness of Event-Based Sampling
NCS Control Architectures
Resources Usage
Bandwidth Usage
Computational Load Reduction
Energy Consumption
Experimental Results
Navigation Algorithms
Obstacles Avoidance Algorithm
Wall Following Algorithm
System Activity
RF bandwidth
Computational Load
Conclusions and Future Work

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