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Publication: Campbell, A.S. and Schwartz, H.M., “Multiple Model Control Improvements: Hypothesis Testing and Modified Model Arrangement” |
Abstract: This work demonstrates the fusion of two concepts
in switching systems, namely, hypothesis testing and multiple model adaptive
control. A hypothesis test switching method is defined to detect parameter
jumps in a stochastic environment and select new models. The control of
discrete-time systems with rapidly time-varying parameters is simulated.
Hypothesis test switching is compared to the most frequently researched
performance index switching method. The proposed method is found to be unique
because it achieves lower control error and operates without user adjustment
or a priori knowledge of parameter behavior and model placement. In addition,
a modification to the way multiple models are arranged is proposed. Using the
modified arrangement, performance increases are demonstrated, stability is
proven more easily, previously required assumptions can be relaxed and new
switching methods can be applied. PDF |