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Paper Title :
Estimation of Non-Measurable Signals Using Adjoint Sensitivity Analysis

Author :Krzysztof Fujarewicz

Article Citation :Krzysztof Fujarewicz , (2016 ) " Estimation of Non-Measurable Signals Using Adjoint Sensitivity Analysis " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 74-77, Volume-4,Issue-3, Spl. Iss-1

Abstract : This paper presents an application of adjoint sensitivity analysis to estimation of unmeasurable continuous-time signals acting in a non-linear dynamical system based on discrete-time measurements obtained from this system. The problem is solved using an iterative gradient-based approach where in each iteration the gradient of an objective function in the space of unknown signals is calculated. The results of the estimation for an exemplary Hammerstein model are presented. Index Terms- Adjoint Sensitivity Analysis, Estimation, Hammerstein Model, Gradient Optimization, Sampled Systems.

Type : Research paper

Published : Volume-4,Issue-3, Spl. Iss-1


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