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The issues of stochastically varying network delays and packet dropouts inNetworked Control System (NCS) applications have been simultaneously addressedby time domain optimal tuning of fractional order (FO) PID controllers.Different variants of evolutionary algorithms are used for the tuning processand their performances are compared. Also the effectiveness of the fractionalorder PI{\lambda}D{\mu} controllers over their integer order counterparts islooked into. Two standard test bench plants with time delay and unstable poleswhich are encountered in process control applications are tuned with theproposed method to establish the validity of the tuning methodology. Theproposed tuning methodology is independent of the specific choice of plant andis also applicable for less complicated systems. Thus it is useful in a widevariety of scenarios. The paper also shows the superiority of FOPID controllersover their conventional PID counterparts for NCS applications.

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Handling Packet Dropouts and Random Delays for Unstable Delayed  Processes in NCS by Optimal Tuning of PI{\lambda}D{\mu} Controllers with  Evolutionary Algorithms