Browsing Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics by Subject "Identification (control systems)"
Now showing items 1-6 of 6
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Article
Adaptive sliding mode control design for a hypersonic flight vehicle
(2004)A multi-input/multi-output adaptive sliding controller is designed and analyzed for the longitudinal dynamics of a generic hypersonic air vehicle. This vehicle model is nonlinear, multivariable, and unstable and includes ...
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Article
Dynamical neural networks that ensure exponential identification error convergence
(1997)Classical adaptive and robust adaptive schemes, are unable to ensure convergence of the identification error to zero, in the case of modeling errors. Therefore, the usage of such schemes to 'black-box' identification of ...
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Conference Object
Learning laws exponential error convergence for recurrent neural networks
(Publ by IEEE, 1993)In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...
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Conference Object
Modelling, identification and stable adaptive control of continuous-time nonlinear dynamical systems using neural networks
(Publ by American Automatic Control Council, 1992)Several empirical studies have demonstrated the feasibility of employing neural networks as models of nonlinear dynamical systems. This paper develops the appropriate mathematical tools for synthesizing and analyzing stable ...
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Article
Robustness and Performance of Adaptive Suppression of Unknown Periodic Disturbances
(2015)In recent years, a class of adaptive schemes has been developed for suppressing periodic disturbance signals with unknown frequencies, phases, and amplitudes. The stability and robustness of these schemes with respect to ...
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Conference Object
Safe adaptive control for performance improvement
(2006)In the past fifty years, adaptive control theory has reached a high level of maturity. However, applications of adaptive control in safety sensitive systems are still very limited. Conventional identifier based adaptive ...