This work unifies the partitioned adaptive estimators for stochastic systems and applies them to other estimation and control problems. The techniques used are not restricted to lumped-parameter systems with unknown constant parameters, but serve as a starting point for more complicated problems. These include abruptly changing parameters such as Markov jump and distributed parameter systems. Some useful background material is provided in the appendices and there is also a summary of recent work.
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This work unifies the partitioned adaptive estimators for stochastic systems and applies them to other estimation and control problems. The techniques used are not restricted to lumped-parameter systems with unknown constant parameters, but serve as a starting point for more complicated problems. These include abruptly changing parameters such as Markov jump and distributed parameter systems. Some useful background material is provided in the appendices and there is also a summary of recent work.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1100grams, ISBN: 9780130054227.
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Seller's Description:
Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.