Digital Computer Applications to Process Control: Proceedings of the 7th IFAC/IFIP/IMACS Conference, Vienna, Austria, 17-20 September 1985, Volume 7
International Federation of Automatic Control, 1986 - Technology & Engineering - 607 pages
Considers the application of modern control engineering on digital computers with a view to improving productivity and product quality, easing supervision of industrial processes and reducing energy consumption and pollution. The topics covered may be divided into two main subject areas: (1) applications of digital control - in the chemical and oil industries, in water turbines, energy and power systems, robotics and manufacturing, cement, metallurgical processes, traffic control, heating and cooling; (2) systems theoretical aspects of digital control - adaptive systems, control aspects, multivariable systems, optimization and reliability, modelling and identification, real-time software and languages, distributed systems and data networks. Contains 84 papers.
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Theory and Application of Adaptive Control
Process Fault Diagnosis with Parameter Estimation Methods
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adaptive control algorithm analysis application approach assumed Automatic calculated changes closed complete considered constant continuous control algorithms control system conventional defined dependent described determined developed discrete display distributed disturbances dynamic elements Engineering equation error estimation example feed Figure filter flow frequency function gain given heat identification implementation improved increase industrial initial input integration internal introduced linear load loop matrix means measured method modules multivariable nonlinear obtained operation optimal output parameters performance period plant polynomial position possible prediction presented problem Proc procedure Process Control production reference regulator represents respectively response sampling scheme sequence shown shows signal simulation solution stability step structure task temperature theory tion transfer unit variable vector weighting