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Weighted moving identification and control for multivariable systems. (English) Zbl 0652.93060

Successive parameter identification via recursive formulas is developed by using a weighted least-squares estimation. An adaptive model is obtained. Two sets of weighting factors are used to ensure that the adaptive model has a good tracking property and that estimated parameters are convergent. Based on the model, an adaptive model-following control algorithm is established. A nonisothermal stirred tank reactor is presented to demonstrate the satisfactory results that the method provides.

MSC:

93E12 Identification in stochastic control theory
93C05 Linear systems in control theory
93C35 Multivariable systems, multidimensional control systems
93C40 Adaptive control/observation systems
93E10 Estimation and detection in stochastic control theory
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