Model Design and Simulation of a Certain Class of Nonlinear Processes
The knowledge of a good mathematical model is an important prerequisite to the successful application of modern control techniques. Many real world processes, however, can not be described by one model with one set of parameters, because they have different dynamic and static characteristics under different operating conditions. The paper presents a simple modification of well-known identification and simulation methods so that a single algorithm can itself estimate and simulate different sets of parameters for different operating conditions.
KeywordsParallel Identification Parameter Estimation Method Noise Transfer Function Real World Process Ting Condition
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