منابع مشابه
Genetic Adaptive Observers
A genetic algorithm (GA) uses the principles of evolution, natural selection, and genetics to offer a method for parallel search of complex spaces. In this paper we show how to utilize GA’s to perform online adaptive state estimation for nonlinear systems. First, we show how to construct a genetic adaptive observer (GAO) where a GA evolves the gains in a state observer in real time so that the ...
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Adaptive observers were first introduced by Carroll and Lindorff in [1], and later on modified by Kudva and Narendra in [2]. For a more detailed analysis and design of adaptive systems see [3], [4], [5]. In many applications where the parameters are unknown and states are not accessible, adaptive observer appears to be a valuable method in estimation of both parameters and states of the system....
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Globally convergent observers are designed for a class of systems with monotonic nonlinearities. The approach is to represent the observer error system as the feedback interconnection of a linear system and a time-varying multivariable sector nonlinearity. Using LMI software, observer gain matrices are computed to satisfy the circle criterion and, hence, to drive the observer error to zero. In ...
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ژورنال
عنوان ژورنال: Transactions of the Institute of Systems, Control and Information Engineers
سال: 1992
ISSN: 1342-5668,2185-811X
DOI: 10.5687/iscie.5.507