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Observation problem for systems governed by Partial Differential Equations (PDE) has been a research field of its own for a long time. In this paper it is presented an observer design for a class or parabolic PDE's using sliding modes theory and bacstepping-like procedure in order to achieve exponential convergence. A Volterra-like integral transformation is used to change the coordinates of the error...
The temperature adaptive control for a neonatal incubator is shown in this paper. The control design is based on the neurofuzzy algorithm and the extended Kalman filter technique. The Kalman filter adjusts the weights associated with the neural network structure, while the ANFIS (artificial neural fuzzy system inference system) structure (using the back-propagation scheme) is applied to change the...
Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This document provides the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by differential neural networks (DNN) and sliding mode type observer techniques. The combination of these both techniques make available a close enough...
In this study the tracking problem for a class of nonlinear uncertain systems is tackled. A new sliding mode neurocontroller is suggested to solve this problem. The designing of this controller includes the construction of online state estimates and the corresponding tracking control based on sliding mode approach using obtained state estimates. We apply a special sliding mode technique during the...
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