IEEE Transactions on Fuzzy Systems

This article investigates a class of optimal joint therapeutic regimens based on adaptive dynamic programming (ADP) and generalized fuzzy hyperbolic model (GFHM) for multiple tumor populations subject to immune effects as well as multiple drugs. Obtaining ...

This article aims to develop a methodology for the hybrid-triggered control for nonlinear switched systems under denial-of-service attacks. By means of the T–S fuzzy method, the complex nonlinear system is transformed into a series of local linear ...

This article addresses the fuzzy filtering problem for nonlinear systems based on the interval type-2 fuzzy model. To make better use of the constrained resources for communication, a novel event-triggering weighted try-once-discard protocol (ET-WTODP) is ...

Fuzzy relation system with max-min composition could be applied to describe the three-tier multimedia streaming architecture. In such an architecture, the regional servers supply their local multimedia streaming services to the clients. Random fault has ...

This article addresses an adaptive event-triggered finite-time control strategy based on state-unpredictable switched nonlinear systems with known time-varying control gains studied under the arbitrary switching rule. A fuzzy observer is designed by ...

With the development of information technology, a large number of multiview data has emerged, which makes multiview clustering algorithms considerably attractive. Previous graph-based multiview clustering methods usually contain two steps: obtaining the ...

This article studies the cooperative resilient tracking control problem for nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks and time delays. In comparison to the existing distributed control results based on the output ...

Feature extraction is a fundamental and challenging task in machine learning, which aims at extracting a subset of significant and discriminant features from raw data for various downstream tasks. The extraction process involves mapping the original data ...

This article presents an adaptive fuzzy fixed-time output feedback control approach for achieving an optimal time-varying formation (TVF) of multiple omnidirectional robot systems (MORSs) with uncertain external disturbances. Given that only output ...

This article presents a comprehensive solution to mitigate network congestion in T-S fuzzy networked control systems caused by denial-of-service (DoS) attacks and quality-of-service (QoS) queuing mechanisms. We develop a novel data compression mechanism ...

This article addresses cooperative target enclosing of underactuated autonomous surface vehicles (ASVs) subject to obstacles. Each ASV suffers from input constraints in addition to unknown kinetics induced by model nonlinearities, unknown input gains, and ...

Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system, which leads to the loss of the ability to recognize undefined features. The mentioned is the main reason for poor ...

For complex nonlinear systems, interval type-2 fuzzy set is a useful strategy due to its ability to deal well with uncertainties in the system, while posing some difficulties to fault detection, such as precise threshold design and fault sensitivity ...

This article addresses the fuzzy adaptive output feedback formation control problem for multiple input and multiple output nonlinear multiagent systems with output saturations and switched topologies. Fuzzy logic systems are employed to model unknown ...

This article explores the design of switched fuzzy controllers for interval type-2 (IT2) fuzzy systems with a fuzzy-rule-dependent adaptive event-triggered mechanism (AETM). First, a novel fuzzy-rule-dependent AETM is proposed for the studied system, ...

The focus of this article is to address the asynchronous control issue for a class of nonlinear Markov jump systems with parameter uncertainties. They are represented by the interval type-2 polynomial fuzzy model. A hidden Markov model is utilized to ...

This article investigates the stability and stabilization problem for delay-dependent Takagi–Sugeno (T–S) fuzzy load-frequency control (LFC) power system with energy storage system (ESS). First, a unified T–S fuzzy LFC model is ...

In this article, the finite-frequency fault detection filter design problem is investigated for a class of networked nonlinear systems subject to medium access constraints. The nonlinear system is modeled by Takagi–Sugeno (T–S) fuzzy affine ...

This work explores the fixed-time stabilization of fuzzy uncertain systems based on conditional integral sliding mode control. The difficulties in solving such problems include the integral windup problem and the severe chattering problem when the system ...

In this article, finite/fixed-time stabilization and energy consumption estimation of a class of discontinuous fuzzy inertial Cohen-Grossberg neural networks (CGNNs) are considered. The saturation function is utilized to design the control laws, which is ...

This article proposes a novel randomized neuro-fuzzy model called fuzzy stochastic configuration networks (F-SCNs), which integrates the Takagi–Sugeno (T–S) fuzzy inference system into SCNs to enhance its fuzzy inference capability. Unlike ...

This research studies the adaptive fast finite-time tracking control problem for switched nonlinear systems with full-state constraints. In this design procedure, the barrier Lyapunov function is used to solve the difficulty from state constraints. The ...

This article is concerned with the stabilization problem of nonlinear networked control systems (NCSs) subject to successive packet losses (SPLs), probabilistic sampling (PS), and input dynamic quantization. Specifically, the Takagi–Sugeno (T&#...

This study investigates the stability characteristics of the Takagi–Sugeno (T–S) fuzzy system under the sampled-data control (SDC). The considered SDC-based T–S fuzzy system is represented as a T–S fuzzy system with varying ...

As quaternion-valued memristor neural networks (MNNs) have important applications in many engineering fields and the information in the real world is often uncertain and inaccurate, therefore, in order to better apply to practice, it is necessary to study ...

The predefined-time fuzzy adaptive output feedback decentralized fault-tolerant control (FTC) problem is considered for fractional-order nonlinear large-scale systems with intermittent actuator faults. First, the predefined-time stability criterion of ...

This article investigates a prescribed performance control (PPC) problem of nonlinear strict-feedback systems subject to actuator faults. By introducing <inline-formula><tex-math notation="LaTeX">$ln$</tex-math></inline-formula>-type performance functions,...

This article extends the finite-time adaptive tracking control to stochastic nonlinear systems with multiple uncertainties, including output constraints, unknown parameters, unmodeled dynamics, and external disturbances. Most relevant results in ...

This article aims to create an intelligent control system to alter the inherent nonlinear and time-varying control characteristics of a nonlinear time-varying system by using an intelligent nonsingular terminal sliding mode control recurrent Petri ...

With the development of fuzzy set theory, the clustering methods widely used in various fields can be divided into hard clustering methods and fuzzy clustering methods. Fuzzy clustering methods use the membership function with values in the interval [0, 1]...