A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …

This article investigates uniformly predefined-time bounded consensus of leader-following
multiagent systems (MASs) with unknown system nonlinearity and external disturbance via …

Most current methodologies on fixed-time adaptive fuzzy control for uncertain nonlinear
systems result in practical fixed-time stability but not fixed-time stability, or require prior …

This paper addresses the dissipative asynchronous filtering problem for a class of Takagi-
Sugeno fuzzy Markov jump systems in the continuous-time domain. The hidden Markov …

This article addresses the finite-time adaptive fuzzy control problem for a class of nonstrict-
feedback uncertain nonlinear systems via an event-triggered strategy. A novel design …

The fuzzy broad learning system (FBLS) is a recently proposed neuro-fuzzy model that
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …

This paper deals with the problem of dissipativity-based asynchronous fault detection (FD)
for Takagi-Sugeno fuzzy Markov jump systems with network data dropouts. It is assumed …

The existed results of Lagrange stability for neural networks (NNs) are scale-free, and
hence, conservativeness appears naturally. A class of Takagi-Sugeno (TS) fuzzy memristive …

Most existing methods on optimal finite-time control are restricted to a complex design and
learning procedure, and only practical finite-time stable is ensured, which greatly limits the …

In this chapter, we first propose time-synchronized control design for a class of affine
systems and the Euler-Lagrange systems under matched disturbances. Next, a more …