{ "item_title" : "State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties", "item_author" : [" Benjamin Noack "], "item_description" : "State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/73/150/124/3731501244_b.jpg", "price_data" : { "retail_price" : "83.00", "online_price" : "83.00", "our_price" : "83.00", "club_price" : "83.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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