Abstract
Linear stochastic control theory gives the potential to formulate and solve regulation problems for industrial processes in a fairly realistic manner. This has also been demonstrated in several applications, [1]. The use of the theory does, however, require mathematical models of the process and its disturbances. Models of the process dynamics can sometimes be obtained from physical laws. Modeling of the disturbances will almost always require experimental data from the process. To apply the theory it is thus necessary to perform plant experiments and to make a system identification.
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Åström, K.J. (1975). Theory and Applications of Self-Tuning Regulators. In: Bensoussan, A., Lions, J.L. (eds) Control Theory, Numerical Methods and Computer Systems Modelling. Lecture Notes in Economics and Mathematical Systems, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46317-4_45
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DOI: https://doi.org/10.1007/978-3-642-46317-4_45
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