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Asymptotic trajectory matching in self-navigation of autonomous manless interceptors: Nonsearch method and a formulation of the functional optimization of the stability of random systems

Conference paper
Authors Eugen Mamontov
Andrei Koptioug
Kurt Marti
Måns Mångård
Published in Proc. 5th MATHMOD Vienna Conf., 8-10 February, 2006 (Vienna Univ. of Technol., Vienna, Austria)
Volume 2
Pages 7·1-7·10
ISBN 3-901608-30-3
Publication year 2006
Published at Department of Physics (GU)
Pages 7·1-7·10
Language en
Links www.mathmod.at/index.php?id=108
Subject categories Applied mathematics, Systems engineering, Mathematical physics, Non-linear dynamics, chaos, Control Engineering, Signal Processing, Other engineering mechanics, Other engineering physics

Abstract

In the field of self-navigation autonomous manless robots there is a noticeable interest to the robot-based target-interception problem. The interceptor trajectory is usually determined by search-based optimization algorithms. In contrast to this, the present work treats the interception as asymptotic trajectory matching and introduces a nonsearch method for the interceptor trajectory. This method is substantially simpler than the well-known proportional navigation and requires very limited computing resources. The latter feature makes the proposed method especially suitable to the interceptors based on embedded onboard computers and civil applications. An example of the latter discussed in the work is the protection of the infrastructure components against intended or unintended attacks. In a general case when parameters of the interceptor are random, the new method leads to a formulation of a new problem in stochastic optimization, namely the functional optimization of (the so-called targetal) stability of the interceptor trajectory. Certain aspects of a practical implementation of the new systems are analyzed. The work proposes the basic physical principle and schemes for innovative sensors which can make the interceptors truly autonomous, in particular, fully GPS-free. A list of the fundamental and applied topics for future research is also suggested.

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