A modified version of the self-toning regulator having limited adaptability has been successfully implemented on a large-scale chemical pilot plant. The new algorithm uses a least-squares estimator with variable weighting of past data; at each step a weighting factor is chosen to maintain constant a
Deterministic convergence of a self-tuning regulator with variable forgetting factor
β Scribed by Osorio Cordero, A.; Mayne, D.Q.
- Book ID
- 114450462
- Publisher
- The Institution of Electrical Engineers
- Year
- 1981
- Weight
- 422 KB
- Volume
- 128
- Category
- Article
- ISSN
- 0143-7054
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Almtract--The similarities are pointed out between the variable forgetting factor given in the paper by Fortescue, Kershenbaum and Ydstie and that given in Wellstead and Sanoff. Moreover, it is shown that the method of Fortescue, Kershenbaum and Ydstie can be made significantly more efficient, compu
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