DisCrete Time Sliidng Mode Control for Networked Control System

Abstract

newlinequotNetworked control systems (NCSs) are traditional feedback control loops closed through a real time communication network. That is, in networked control systems, communication networks are employed to exchange information (reference input, plant output, control input, etc...) between control system components (sensors, controllers, actuators, etc...). NCS has become popular in the field of control due to its distinct advantages such as low cost, reduced weight, simple installation and maintenance, resource sharing and high reliability. As a result, NCS have great potential in industrial applications such as manufacturing plants, smart grid, haptic collaboration, vehicles, aircrafts, robotics, spacecrafts and many others. NCS generally possess a dynamic nature which results in various challenges for researchers in terms of random time delay, packet loss, multiple packet loss, packet disordering, resource allocation and bandwidth sharing. It is well newlineknown that the performance of NCS is significantly deteriorated due to these communication uncertainties. If these challenges are not handled properly, they may result in degradation of the system s performance. Among all these issues, time delay and packet loss are considered to be crucial issues in NCS that degrades the stability and control performance of closed-loop control systems. The delays may be constant, time-varying, and in most cases, random. The nature of network delay mainly depends on the configuration of the communication medium. If the communication medium is configured using lease line concept then the delays are always deterministic in nature. And whenever the communication medium is shared by large number of devices then the delays are random in nature. It is worth to mention here that, the amount of time required for the data packets to travel from sensor to controller and controller to actuator is defined as total network delay. The controller mainly suffers from sensor-to-controller delay. When such delay is transformed into discrete

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