This paper proposes a novel gradient-boosting-based ensemble system with a fuzzy
regression tree (FRT) as its base component for regression tasks. FRT first initializes the rule …

This brief presents the design of a distributed estimator for joint state and unknown input
estimation of nonlinear systems subject to denial-of-service (DoS) attacks and stochastic …

This paper investigates the synchronization control of neural networks (NNs) considering
parameter uncertainties by utilizing an improved asymmetric Lyapunov–Krasovskii …

This article considers the control problem in the finite-time horizon for a class of Takagi–
Sugeno (T–S) fuzzy systems that frequently work under a certain fuzzy rule. By assigning …

This paper focuses on the exponential synchronization of chaotic delayed neural networks
(CDNNs) via the intermittent sampled-data control (ISC). To save the control cost and limited …

In order to describe the system as realistically as possible, the fractional-order memristive
multidirectional associative memory neural networks (FOMMAMNNs) with parameter …

This article probes into the global polynomial stabilization (GPS) of proportional delayed
inertial memristive neural networks (PDIMNNs). Here, ruling out the reduced-order way …

In recent times, microheaters have gained a vast range of attention due to their universal
existence in most research domains such as healthcare, pharmaceutical, clinical, electrical …

The development of renewable energy is related to the sustainable development of social
economy and environmental protection. A time power-based grey model with Caputo …

This paper investigates the problem of event‐triggered output tracking control for networked
switched interval type‐2 (IT2) fuzzy systems under deception attacks. Different from the …