Abstract

Nowadays network control systems present a common approximation when connectivity is the issue to be solved based on time delays coupling from external factors. However, this approach tends to be complex in terms of time delays. Therefore, it is necessary to study the behavior of the delays as well as the integration into differential equations of these bounded delays. The related time delays needs to be known a priory but from a dynamic real-time behavior. To do so, the use of priority dynamic Priority exchange scheduling is performed. The objective of this paper is to show a way to tackle multiple time delays that are bounded and the dynamic response from real-time scheduling approximation. The related control law is designed considering fuzzy logic approximation for nonlinear time delays coupling, where the main advantage is the integration of this behavior through extended state space representation keeping certain linear and bounded behavior and leading to a stable situation during events presentation by guaranteeing stability through Lyapunov.

Highlights

  • IntroductionNowadays real-time restrictions are the most certain definitions in terms of time delays where general considerations tend to be periodic and repeatable

  • Nowadays real-time restrictions are the most certain definitions in terms of time delays where general considerations tend to be periodic and repeatable.The control design and stability analysis of networkbased control systems (NCSs) have been studied in recent years, based upon codesign strategy [1]

  • Current time delays can be modeled using real-time dynamic scheduling algorithms; the resulting delays are time varying and stationary, related local control laws need to be designed according to this characteristic and time integration is the key global issue to be taken into consideration

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Summary

Introduction

Nowadays real-time restrictions are the most certain definitions in terms of time delays where general considerations tend to be periodic and repeatable. The control design and stability analysis of networkbased control systems (NCSs) have been studied in recent years, based upon codesign strategy [1]. The main advantages of this kind of systems are their low cost, small volume of wiring, distributed processing, simple installation, maintenance, and reliability. In a NCS, one of the key issues is the effect of networkinduced delay in the system performance. The delay can be constant, time varying, or even random; this depends on the scheduler, network type, architecture, operating systems, and so forth. One strategy to be followed is the codesign since it takes both desired procedures to be followed. Nilsson analyzes several important facets of NCSs. Nilsson [2]

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