State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties

• Tác giả: Benjamin Noack
• Ngôn ngữ: eng
• ISBN-13: 978-3731501244
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2014
• Mô tả vật lý: 1 electronic resource (XVIII, 257 p. p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 231219

Tóm tắt

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.