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Estimation Techniques for Distributed Parameter Systems || An Annotated Bibliography

✍ Scribed by Banks, H. T.; Kunisch, K.

Book ID
120264308
Publisher
Birkhäuser Boston
Year
1989
Weight
845 KB
Category
Article
ISBN
1461237009

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📜 SIMILAR VOLUMES

On state estimation for distributed para
On state estimation for distributed parameter systems
✍ J.S. Meditch 📂 Article 📅 1970 🏛 Elsevier Science 🌐 English ⚖ 647 KB

Ekquential algorithms for prediction, jiltering and smoothing are developed for a class of linear distributed-parameter system. The class of systems concerned is that involving noisy measurement data which are obtained frovn "averaging" and "scanner''-type sensors. Tk basic tools of the development

Optimal weighting design for distributed
Optimal weighting design for distributed parameter systems estimation
✍ Mostafa Ouarit; Jean-Pierre Yvon; Jacques Henry 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 125 KB

## Abstract This paper presents a method which aims at improving parameter estimation in dynamical systems. The general principle of the method is based on a modification of the least‐squares objective function by means of a weighting operator, in view to improve the conditioning of the identificat

PC environment for simulation and parame
PC environment for simulation and parameter estimation of distributed parameter systems
✍ N. Point; A. Vande Wouwer; M. Remy; M. Zeitz 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 774 KB

Point, N., A. Vande Wouwer, M. Remy and M. Zeitz, PC environment for simulation and parameter estimation of distributed parameter systems, Mathematics and Computers in Simulation 35 (1993) 481-491. ## 1. Introduction Many works in the field of distributed parameter systems have demonstrated that t

Joint state and parameter estimation for
Joint state and parameter estimation for distributed mechanical systems
✍ Philippe Moireau; Dominique Chapelle; Patrick Le Tallec 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 913 KB

We present a novel strategy to perform estimation for a dynamical mechanical system in standard operating conditions, namely, without ad hoc experimental testing. We adopt a sequential approach, and the joint state-parameter estimation procedure is based on a state estimator inspired from collocated