AIMC Topic: Algorithms

Clear Filters Showing 11971 to 11980 of 28713 articles

A Novel Interval Type-2 Fuzzy System Identification Method Based on the Modified Fuzzy C-Regression Model.

IEEE transactions on cybernetics
In this article, a novel interval type-2 Takagi-Sugeno fuzzy c -regression modeling method with a modified distance definition is proposed. The modified distance definition is developed to describe the distance between each data point and the local t...

Adaptive Neural Network Fixed-Time Control Design for Bilateral Teleoperation With Time Delay.

IEEE transactions on cybernetics
In this article, subject to time-varying delay and uncertainties in dynamics, we propose a novel adaptive fixed-time control strategy for a class of nonlinear bilateral teleoperation systems. First, an adaptive control scheme is applied to estimate t...

Progressive Ensemble Kernel-Based Broad Learning System for Noisy Data Classification.

IEEE transactions on cybernetics
The broad learning system (BLS) is an algorithm that facilitates feature representation learning and data classification. Although weights of BLS are obtained by analytical computation, which brings better generalization and higher efficiency, BLS su...

TriATNE: Tripartite Adversarial Training for Network Embeddings.

IEEE transactions on cybernetics
Existing network embedding algorithms based on generative adversarial networks (GANs) improve the robustness of node embeddings by selecting high-quality negative samples with the generator to play against the discriminator. Since most of the negativ...

Research Review for Broad Learning System: Algorithms, Theory, and Applications.

IEEE transactions on cybernetics
In recent years, the appearance of the broad learning system (BLS) is poised to revolutionize conventional artificial intelligence methods. It represents a step toward building more efficient and effective machine-learning methods that can be extende...

Reinforcement-Learning-Based Disturbance Rejection Control for Uncertain Nonlinear Systems.

IEEE transactions on cybernetics
This article investigates the reinforcement-learning (RL)-based disturbance rejection control for uncertain nonlinear systems having nonsimple nominal models. An extended state observer (ESO) is first designed to estimate the system state and the tot...

Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller.

IEEE transactions on cybernetics
This study designs a fuzzy double hidden layer recurrent neural network (FDHLRNN) controller for a class of nonlinear systems using a terminal sliding-mode control (TSMC). The proposed FDHLRNN is a fully regulated network, which can be simply conside...

Feedback Pinning Control of Successive Lag Synchronization on a Dynamical Network.

IEEE transactions on cybernetics
In nature and human society, successive lag synchronization (SLS) is an important synchronization phenomenon. Compared with other synchronization patterns, the control theory of SLS is very lacking. To this end, we first introduce a complex dynamical...

A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.

IEEE transactions on cybernetics
Recently, canonical correlation analysis (CCA) has been explored to address the fault detection (FD) problem for industrial systems. However, most of the CCA-based FD methods assume both Gaussianity of measurement signals and linear relationships amo...

Event-Triggered Adaptive Neural Control for Fractional-Order Nonlinear Systems Based on Finite-Time Scheme.

IEEE transactions on cybernetics
This article addresses the finite-time event-triggered adaptive neural control for fractional-order nonlinear systems. Based on the backstepping technique, a novel adaptive event-triggered control scheme is proposed, and finite-time stability criteri...