This paper investigates the passivity based filtering problem for multilayer Hopfield neural networks with external disturbance. A new passivity based filter design method for multilayer Hopfield neural networks is developed to ensure that the filtering error system is exponentially stable and passive from the external disturbance vector to the output error vector. The unknown gain matrix is obtained by solving a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.
- External disturbance
- Linear matrix inequality (LMI)
- Multilayer hopfield neural networks
- Passive filtering
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering