AIMC Topic: Computer Simulation

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Adaptive-observer-based consensus tracking with fault-tolerant network connectivity of uncertain time-delay nonlinear multiagent systems with actuator and communication faults.

ISA transactions Jul 18, 2022
In this study, a distributed output-feedback design approach for ensuring fault-tolerant initial network connectivity and preselected-time consensus tracking performance is proposed for a class of uncertain time-delay nonlinear multiagent systems (TD...
Neural Networks, Computer Computer Simulation Communication Consensus Uncertainty
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Hardware-in-the-loop implementation of an unknown input observer for synchronous reluctance motor.

ISA transactions Jul 16, 2022
In this paper, we design a proportional integral observe for a nonlinear synchronous reluctance motor described by a Takagi-Sugeno multi-model. In this design, both states and unknown inputs are estimated simultaneously. First, the mathematical nonli...
Algorithms Computer Simulation Models, Theoretical Fuzzy Logic Nonlinear Dynamics
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Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2022
In this paper, a critic learning structure based on the novel utility function is developed to solve the optimal tracking control problem with the discount factor of affine nonlinear systems. The utility function is defined as the quadratic form of t...
Neural Networks, Computer Algorithms Computer Simulation Learning Nonlinear Dynamics
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Tidal turbine support in microgrid frequency regulation through novel cascade Fuzzy-FOPID droop in de-loaded region.

ISA transactions Jul 15, 2022
The goal of this study is to introduce an effective load frequency control scheme with the integration of tidal turbines in a standalone microgrid (μG) system. As standalone μG experiences lower inertia and lacks primary frequency control, the use of...
Algorithms Computer Simulation Fuzzy Logic
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LightFD: Real-Time Fault Diagnosis with Edge Intelligence for Power Transformers.

Sensors (Basel, Switzerland) Jul 15, 2022
Power fault monitoring based on acoustic waves has gained a great deal of attention in industry. Existing methods for fault diagnosis typically collect sound signals on site and transmit them to a back-end server for analysis, which may fail to provi...
Neural Networks, Computer Computer Simulation Intelligence Electric Power Supplies
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Analysis and Research on the Impact of Physical Exercise on Residents' Health Based on the Improved BP Neural Network Model.

Journal of environmental and public health Jul 13, 2022
With the rapid improvement of social economy and the enhancement of people's health awareness, it is necessary to make an in-depth analysis of the rationality of physical exercise and the physical quality of residents. Hence, this study aims to explo...
Humans Neural Networks, Computer Computer Simulation Exercise Sports
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Reinforcement learning based adaptive optimal control for constrained nonlinear system via a novel state-dependent transformation.

ISA transactions Jul 12, 2022
Existing schemes for state-constrained systems either impose feasibility conditions or ignore the optimality. In this article, an adaptive optimal control scheme for the strict-feedback nonlinear system is proposed, which benefits from two design ste...
Neural Networks, Computer Computer Simulation Learning Feedback Nonlinear Dynamics
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Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain.

Sensors (Basel, Switzerland) Jul 12, 2022
Path planning for wheeled mobile robots on partially known uneven terrain is an open challenge since robot motions can be strongly influenced by terrain with incomplete environmental information such as locally detected obstacles and impassable terra...
Algorithms Computer Simulation Robotics Motion
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Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach.

BMC medical research methodology Jul 11, 2022
BACKGROUND: The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic strategy. Joint models and landmark models have been proposed ...
Humans Machine Learning Biomarkers Computer Simulation Aged
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PSO Algorithm-Based Design of Intelligent Education Personalization System.

Computational intelligence and neuroscience Jul 9, 2022
The application of artificial intelligence in the field of education is becoming more and more extensive and in-depth. The intelligent education system can not only solve the limitations of location, time, and resources in the traditional learning fi...
Artificial Intelligence Algorithms Computer Simulation Learning Intelligence
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