✦ LIBER ✦

Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations

✍ Scribed by Rao, C.V.; Rawlings, J.B.; Mayne, D.Q.

Book ID: 115548312
Publisher: IEEE
Year: 2003
Tongue: English
Weight: 918 KB
Volume: 48
Category: Article
ISSN: 0018-9286
DOI: 10.1109/tac.2002.808470

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Moving-horizon state estimation for nonl

Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes

✍ Angelo Alessandri; Marco Baglietto; Giorgio Battistelli 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 676 KB

Moving horizon state estimation for line

Moving horizon state estimation for linear discrete-time singular systems

✍ Boulkroune, B.; Darouach, M.; Zasadzinski, M. 📂 Article 📅 2010 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 553 KB

Min-Max Moving-Horizon Estimation for Un

Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems

✍ Alessandri, A.; Baglietto, M.; Battistelli, G. 📂 Article 📅 2012 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 496 KB

Nonlinear minimum variance estimation fo

Nonlinear minimum variance estimation for state-dependent discrete-time systems

✍ Grimble, M. 📂 Article 📅 2012 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 605 KB

A combined Moving Horizon and Direct Vir

A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation

✍ Lorenzo Fagiano; Carlo Novara 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 360 KB

Zero-state observability and stability o

Zero-state observability and stability of discrete-time nonlinear systems

✍ Wei Lin; Christopher I. Byrnes 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 674 KB

## This paper studies discrete-time invariant autonomous systems We investigate the problem of when asymptotic stability of I: can be characterized by means of zero-state observability of 2 and square summability of the output function h(x,). The relationship among observability, square summable s