Title :
Exponential stability and periodic oscillatory solution in BAM networks with delays
Author :
Cao, Jinde ; Wang, Lin
Author_Institution :
Dept. of Appl. Math., Southeast Univ., Nanjing, China
fDate :
3/1/2002 12:00:00 AM
Abstract :
Both exponential stability and periodic oscillatory solution of bidirectional associative memory (BAM) networks with axonal signal transmission delays are considered by constructing suitable Lyapunov functional and some analysis techniques. Some simple sufficient conditions are given ensuring the global exponential stability and the existence of periodic oscillatory solutions of BAM with delays. These conditions are presented in terms of system parameters and have important leading significance in the design and applications of globally exponentially stable and periodic oscillatory neural circuits for BAM with delays. In addition, two examples are given to illustrate the results
Keywords :
asymptotic stability; content-addressable storage; neural nets; BAM Networks; Lyapunov functional; bidirectional associative memory networks; delay; exponential stability; neural circuits; periodic oscillatory; periodic oscillatory solution; Associative memory; Biological neural networks; Chaos; Circuit stability; Delay; Intelligent networks; Magnesium compounds; Pattern recognition; Stability analysis; Sufficient conditions;
Journal_Title :
Neural Networks, IEEE Transactions on