Among the various fuzzy models, the well-known Takagi–Sugeno (TS) fuzzy model is recognized as a popular and powerful tool in approximating a complex ...

TS model provides a fixed structure to some nonlinear systems and facilitates the analysis of the system. This paper concerns with the global exponential ...

Abstract: The problem of global robust exponential stability is investigated for Fuzzy stochastic uncertain discrete-time bidirectional associative memory ...

A novel LMI-based stability criterion is obtained by LMI optimization algorithms to guarantee the exponential stability of uncertain BAM neural networks with ...

This paper presents some new results of robust asymptotic stability analysis for uncertain BAM neural networks with both interval time-varying delays and ...

Abstract—The problem of global robust exponential stability is investigated for Fuzzy stochastic uncertain discrete-time.

The delay factor is assumed to be time-varying and belongs to a given interval, which means that the derivative of the delay function can exceed one. The ...

Apr 1, 2007 · In this paper, the stability problem of Takagi-Sugeno fuzzy BAM neural networks with time-varying delays is considered.

This Letter addresses the stability analysis problem for a class of uncertain discrete-time stochastic fuzzy neural networks (DSFNNs) with time-varying delays.

Mar 27, 2018 · This paper concerns the problem of enhanced results on robust finite time passivity for uncertain discrete time Markovian jumping BAM ...