AIMC Topic:
Computer Simulation

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Adaptive Finite-Time Containment Control of Uncertain Multiple Manipulator Systems.

IEEE transactions on cybernetics Jan 11, 2022
This article is concerned with the containment control of multiple manipulators with uncertain parameters. A novel distributed adaptive backstepping strategy is given in the finite-time control framework. The finite-time command filters (FTCFs) used ...
Feedback Nonlinear Dynamics Computer Simulation Neural Networks, Computer
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Design of Fuzzy State Observer and Mobile Sensor Guidance for Semilinear Parabolic PDE Systems.

IEEE transactions on cybernetics Jan 11, 2022
This article investigates the issue of the fuzzy observer design for the semilinear parabolic partial differential equation (PDE) systems with mobile sensing measurements. Initially, we employ a Takagi-Sugeno (T-S) fuzzy PDE model to represent the se...
Fuzzy Logic Computer Simulation Algorithms
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Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration.

IEEE transactions on cybernetics Jan 11, 2022
How to transform a mixed flow of sensory and motor information into memory state of self-location and to build map representations of the environment are central questions in the navigation research. Studies in neuroscience have shown that place cell...
Neural Networks, Computer Hippocampus Learning Cognition Computer Simulation
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Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities.

IEEE transactions on cybernetics Jan 11, 2022
This article is concerned with the dissipativity-based disturbance attenuation control for a class of Takagi-Sugeno (T-S) fuzzy Markov jump systems (FMJSs) suffering from nonlinear multisource disturbances. The considered system possesses nonlinear a...
Algorithms Probability Nonlinear Dynamics Fuzzy Logic Computer Simulation
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Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics.

IEEE transactions on cybernetics Jan 11, 2022
In this article, we investigate the self-learning robust control synthesis and tracking design of general uncertain dynamical systems. Based on the adaptive critic learning, the robust stabilization method is developed with the help of conducting pro...
Neural Networks, Computer Feedback Nonlinear Dynamics Computer Simulation Algorithms
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Percolation in networks with local homeostatic plasticity.

Nature communications Jan 10, 2022
Percolation is a process that impairs network connectedness by deactivating links or nodes. This process features a phase transition that resembles paradigmatic critical transitions in epidemic spreading, biological networks, traffic and transportati...
Homeostasis Nerve Net Animals Models, Statistical Computer Simulation Humans Algorithms Neural Networks, Computer
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Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven.

Network (Bristol, England) Jan 9, 2022
In this paper, for the first time, the impact of the shape factor on the discharge coefficient of side orifices is evaluated using the novel Extreme Learning Machine (ELM) model. In addition, the Monte Carlo simulations (MCs) are applied to assess th...
Learning Machine Learning Humans Monte Carlo Method Patient Discharge Computer Simulation
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Research on Artificial Intelligence Classification and Statistical Methods of Financial Data in Smart Cities.

Computational intelligence and neuroscience Jan 6, 2022
In order to improve the effect of financial data classification and extract effective information from financial data, this paper improves the data mining algorithm, uses linear combination of principal components to represent missing variables, and ...
Cities Intelligence Algorithms Computer Simulation Artificial Intelligence
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Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System.

Computational intelligence and neuroscience Jan 6, 2022
This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics,...
Neural Networks, Computer Nonlinear Dynamics Computer Simulation Feedback Research Design
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Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation.

Oxidative medicine and cellular longevity Jan 5, 2022
BACKGROUND: Vascular calcification (VC) constitutes subclinical vascular burden and increases cardiovascular mortality. Effective therapeutics for VC remains to be procured. We aimed to use a deep learning-based strategy to screen and uncover plant c...
Machine Learning Plants Algorithms Vascular Calcification Computer Simulation Humans Deep Learning
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