Abstract

A variant of Hopfield neural network, called the modified Hopfield network, is formulated in this study. This class of networks consists of parallel recurrent networks which have variable dimensions that can be changed to fit the problem under consideration. It has a structure to implement an inverse transformation that is essential for embedding optimal control gain sequences. Equilibrium solutions of this network are discussed. The robustness of this network and the classical Hopfield network are carried out in the frequency domain using describing functions

Meeting Name

1999 American Control Conference, 1999

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Hopfield Neural Nets; Hopfield Neural Networks; Circuit Stability; Frequency Domain Analysis; Frequency-Domain Analysis; Inverse Problems; Inverse Transformation; Optimal Control; Recurrent Networks; Robustness; Stability; Transforms

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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