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Neural regulator design

โœ Scribed by M.S. Ahmed; M.A. Al-Dajani

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
355 KB
Volume
11
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

Design of a neural-net-based regulator for nonlinear plants is considered. Both state and output feedback regulators with deterministic and stochastic disturbances have been investigated. A Multilayered Feedforward Neural Network (MFNN) has been employed as the nonlinear controller. The training of the MFNN utilizes the recently developed concept of Block Partial Derivatives (BPDs).

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