@inproceedings{scholars175,
           pages = {1007--1012},
           title = {Industrial PC control implementation on PID controllers: Application to pressure control system},
         address = {Kuala Lumpur},
         journal = {2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007},
             doi = {10.1109/ICIAS.2007.4658537},
            year = {2007},
            note = {cited By 3; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506},
        keywords = {Computer control; Concurrency control; Control systems; Electric control equipment; End effectors; Pilot plants; Proportional control systems; Targets; Three term control systems; Time varying control systems; Tuning; Two term control systems, Controller tuning; Empirical modeling; Industrial PC; PID controllers; XPC target, Process control},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949099128&doi=10.1109\%2fICIAS.2007.4658537&partnerID=40&md5=339ea7fa84a34120e8acdb093b0f355e},
        abstract = {This paper describes the implementation of industrial PC control of a process in a pilot plant. The overall model is built on MATLAB/Simulink, a technical computing software that has easily adaptable structure where control strategies and model variables can be modified. The MATLAB/Simulink model is interfaced to the plant via an xPC target card to enable real-time analysis of the control strategies. The flexibility in the model structure allows devising appropriate experimental designs, for tests to be performed in real-time to realize disturbances. The evaluation of five tuning methods, and the comparisons of three closed-loop oscillation-based-tuning for the PID control of pressure in the plant is presented. The findings demonstrate the viability of the system to provide a wealth of potential control strategy options, and confirm the behavior of the process in response to the different control strategies. {\^A}{\copyright}2007 IEEE.},
          author = {Saad, N. and Zailani, M. S. R.},
            isbn = {1424413559; 9781424413553}
}