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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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Discrete-Time Neural Observers - Analysis and Applications (Paperback)
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Discrete-Time Neural Observers - Analysis and Applications (Paperback)
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Total price: R2,996
Discovery Miles: 29 960
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Discrete-Time Neural Observers: Analysis and Applications presents
recent advances in the theory of neural state estimation for
discrete-time unknown nonlinear systems with multiple inputs and
outputs. The book includes rigorous mathematical analyses, based on
the Lyapunov approach, that guarantee their properties. In
addition, for each chapter, simulation results are included to
verify the successful performance of the corresponding proposed
schemes. In order to complete the treatment of these schemes, the
authors also present simulation and experimental results related to
their application in meaningful areas, such as electric three phase
induction motors and anaerobic process, which show the
applicability of such designs. The proposed schemes can be employed
for different applications beyond those presented. The book
presents solutions for the state estimation problem of unknown
nonlinear systems based on two schemes. For the first one, a full
state estimation problem is considered; the second one considers
the reduced order case with, and without, the presence of unknown
delays. Both schemes are developed in discrete-time using recurrent
high order neural networks in order to design the neural observers,
and the online training of the respective neural networks is
performed by Kalman Filtering.
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