A linear‐model‐based adaptive control system is developed. Alternative identification techniques are combined with a suboptimal controller. Iterative and recursive algorithms are applied to produce minimum norm estimates of multivariable models, adequate over a range of plant operation. Parameter estimates are used to update the stage‐by‐stage suboptimal control algorithm. The techniques are applied to control a non‐linear chemical reactor model.
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