Implementation of distributed parameter state observers

Author(s):  
M. Köhne
1981 ◽  
Vol 103 (2) ◽  
pp. 78-83 ◽  
Author(s):  
M. J. Balas

This paper presents a theory of nonlinear state observers for nonlinear and bilinear distributed parameter systems. Convergence results are proved for these observers. Linear feedback control derived from such state observers is applied to the distributed parameter system and conditions are presented for closed-loop stability. The emphasis is on finite dimensional state observers and controllers (which can be implemented with on-line computers) and conditions for their successful operation with infinite dimensional distributed parameter systems.


1994 ◽  
Vol 4 (3) ◽  
pp. 163-172 ◽  
Author(s):  
Michael Mangold ◽  
Götz Lauschke ◽  
Johanna Schaffner ◽  
Michael Zeitz ◽  
Ernst-Dieter Gilles

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3180
Author(s):  
Ivan Francisco Yupanqui Yupanqui Tello ◽  
Alain Vande Vande Wouwer ◽  
Daniel Coutinho

While state estimation techniques are routinely applied to systems represented by ordinary differential equation (ODE) models, it remains a challenging task to design an observer for a distributed parameter system described by partial differential equations (PDEs). Indeed, PDE systems present a number of unique challenges related to the space-time dependence of the states, and well-established methods for ODE systems do not translate directly. However, the steady progresses in computational power allows executing increasingly sophisticated algorithms, and the field of state estimation for PDE systems has received revived interest in the last decades, also from a theoretical point of view. This paper provides a concise overview of some of the available methods for the design of state observers, or software sensors, for linear and semilinear PDE systems based on both early and late lumping approaches.


1993 ◽  
Vol 140 (5) ◽  
pp. 305 ◽  
Author(s):  
Z. Trzaska ◽  
W. Marszalek

1989 ◽  
Vol 109 (12) ◽  
pp. 885-891
Author(s):  
Norio Nishizuka ◽  
Mikio Nakatsuyama ◽  
Kunikatsu Kobayashi ◽  
Hiroshi Nagahashi

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