This paper gives a concise description of effective solutions to the guaranteed state estimation problems for dynamic systems with uncertain items being unknown but bounded. It indicates a rather unconventional, rigorous theory for these problems based on the notion of evolution equations of the ‘funnel’ type which could be further transformed - through exact ellipsoidal representations - into algorithmic procedures that allow effective simulation, particularly with computer graphics. the estimation problem is also interpreted as a problem of tracking a partially known system under incomplete measurements.
Mathematically, the technique described in this paper is based on a theory of set-valued evolution equations with the approximation of solutions formulated in terms of set-valued calculus by ellipsoidal-valued functions.
[1]
A. B. Kurzhanski,et al.
Ellipsoidal techniques for dynamic systems: The problem of control synthesis
,
1991
.
[2]
J. P. Norton,et al.
Identification and application of bounded-parameter models
,
1985,
Autom..
[3]
I. Vályi,et al.
Ellipsoidal techniques for dynamic systems: Control synthesis for uncertain systems
,
1992
.
[4]
A. Kurzhanski.
Identification - a theory of guaranteed estimates
,
1989
.
[5]
J. Aubin,et al.
Applied Nonlinear Analysis
,
1984
.
[6]
Funnel Equations and Multivalued Integration Problems for Control Synthesis
,
1990
.