Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels

Y. A. Merkuryev
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Y. A. Merkuryev: Riga Technical University

Chapter 19 in Bounding Approaches to System Identification, 1996, pp 307-316 from Springer

Abstract: Abstract The problem under consideration is to identify an object that is described by a linear equation (19.1) % MathType!MTEF!2!1!+- % feaagCart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn % hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr % 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9 % vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x % fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8 % qacaWG5bGaeyypa0Jaamyya8aadaWgaaWcbaWdbiaaigdaa8aabeaa % k8qacaWG4bWdamaaBaaaleaapeGaaGymaaWdaeqaaOWdbiabgUcaRi % abgAci8kabgUcaRiaadggapaWaaSbaaSqaa8qacaWGUbaapaqabaGc % peGaamiEa8aadaWgaaWcbaWdbiaad6gaa8aabeaak8qacaGGSaaaaa!450C! $$ y = {a_1}{x_1} + \ldots + {a_n}{x_n}, $$ where x 1..., x n are input scalar signals, y is an output scalar signal, and a 1,..., a n are the model coefficients, which must be estimated.

Keywords: Model Coefficient; Output Channel; Linear Object; 26th IEEE ConFerence; Bounded Disturbance (search for similar items in EconPapers)
Date: 1996
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DOI: 10.1007/978-1-4757-9545-5_19

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