AIMC Topic: Computer Simulation

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

IEEE transactions on cybernetics Aug 18, 2022
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...
Algorithms Computer Simulation Fuzzy Logic
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Reinforcement-Learning-Based Disturbance Rejection Control for Uncertain Nonlinear Systems.

IEEE transactions on cybernetics Aug 18, 2022
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...
Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics Uncertainty
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Event-Triggered Adaptive Neural Control for Fractional-Order Nonlinear Systems Based on Finite-Time Scheme.

IEEE transactions on cybernetics Aug 18, 2022
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...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Quasisynchronization for Neural Networks With Partial Constrained State Information via Intermittent Control Approach.

IEEE transactions on cybernetics Aug 18, 2022
This work addresses quasisynchronization (QS) of the master-slave (MS) neural networks (NNs) with mismatched parameters. The logarithmic quantizer and the round-robin protocol (RRP) are used to deal with the limited communication channel (CC) capacit...
Neural Networks, Computer Computer Simulation Time Factors
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Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.

IEEE transactions on cybernetics Aug 18, 2022
An event-triggered adaptive dynamic programming (ADP) algorithm is developed in this article to solve the tracking control problem for partially unknown constrained uncertain systems. First, an augmented system is constructed, and the solution of the...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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A Barrier Varying-Parameter Dynamic Learning Network for Solving Time-Varying Quadratic Programming Problems With Multiple Constraints.

IEEE transactions on cybernetics Aug 18, 2022
Many scientific research and engineering problems can be converted to time-varying quadratic programming (TVQP) problems with constraints. Thus, TVQP problem solving plays an important role in practical applications. Many existing neural networks, su...
Neural Networks, Computer Algorithms Computer Simulation Problem Solving
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Deep learning fuzzy immersion and invariance control for type-I diabetes.

Computers in biology and medicine Aug 17, 2022
In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients. Unlike most studies, the glucose-insulin metabolism is considered to be uncertain. A new approach on the basis of the Immersion and Invariance (I&I) theor...
Humans Algorithms Computer Simulation Deep Learning Blood Glucose Insulin Diabetes Mellitus, Type 1 Fuzzy Logic Immersion
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An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis.

Sensors (Basel, Switzerland) Aug 17, 2022
This work presents a novel Automated Machine Learning (AutoML) approach for Real-Time Fault Detection and Diagnosis (RT-FDD). The approach's particular characteristics are: it uses only data that are commonly available in industrial automation system...
Humans Machine Learning Algorithms Computer Simulation
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Flow Pattern Identification of Oil-Water Two-Phase Flow Based on SVM Using Ultrasonic Testing Method.

Sensors (Basel, Switzerland) Aug 16, 2022
A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasonic reflection echo is proposed for oil-water two-phase flow in horizontal pipelines. Based on the finite element method, two-dimensional geometric simu...
Computer Simulation Water Support Vector Machine Ultrasonics Transducers
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Modeling and Optimization for a New Compliant 2-dof Stage for Locating Biomaterial Samples by an Efficient Approach of a Kinetostatic Analysis-Based Method and Neural Network Algorithm.

Computational intelligence and neuroscience Aug 16, 2022
The nanoindentation technique is employed to characterize the behaviors of biomaterials. Nevertheless, there is a lack of development of a miniaturized precise positioner for in situ nanoindentation. Besides, modeling behaviors of the positioner are ...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Biocompatible Materials
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