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Adaptive Control of Neural Network Synthesis [PDF]
MATEC Web of Conferences, 2017 Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. This synthesis woks as an algorithm capable of creating and learning and artificial neural networks as ...
Vařacha Pavel
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Neural synchrony for adaptive control [PDF]
Journal of Cognitive Neuroscience, 2020 Cognitive control can be adaptive along several dimensions, including intensity (how intensely do control signal influence bottom-up processing) and selectivity (what information is selected for further processing). Furthermore, control can be exerted along slow or fast time scales.
Pieter Verbeke, Tom Verguts
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Neural Control and Online Learning for Speed Adaptation of Unmanned Aerial Vehicles
Frontiers in Neural Circuits, 2022 Unmanned aerial vehicles (UAVs) are involved in critical tasks such as inspection and exploration. Thus, they have to perform several intelligent functions. Various control approaches have been proposed to implement these functions.
Vatsanai Jaiton +4 more
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Frontiers in Neural Circuits, 2023 IntroductionAnimals such as cattle can achieve versatile and elegant behaviors through automatic sensorimotor coordination. Their self-organized movements convey an impression of adaptability, robustness, and motor memory.
Tao Sun +4 more
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Neural Network Trajectory Tracking Control on Electromagnetic Suspension Systems
Mathematics, 2023 A new adaptive-like neural control strategy for motion reference trajectory tracking for a nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural networks, differential flatness and sliding modes are strategically integrated
Francisco Beltran-Carbajal +5 more
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Adaptive neural network control for nonlinear non-strict feedback time-delay systems
Systems Science & Control Engineering, 2021 This paper focuses on adaptive neural control for a class of non-strict feedback nonlinear systems with state delays and input delay. By combining integral transformation with adaptive neural control approach, a backstepping-based adaptive neural control
Yuanyuan Xu, Bing Chen
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IEEE Access, 2023 This paper proposes an initial-rectification neuroadaptive finite-time control scheme to solve the surge motion tracking control problem of an autonomous underwater vehicle with input saturation.
Yan Ma, Youfang Yu
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Adaptive Neural Decoder for Prosthetic Hand Control
Frontiers in Neuroscience, 2021 The overarching goal was to resolve a major barrier to real-life prosthesis usability—the rapid degradation of prosthesis control systems, which require frequent recalibrations. Specifically, we sought to develop and test a motor decoder that provides (1)
Andrew E. Montgomery +3 more
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Design of RBF Adaptive Sliding Mode Controller for A Supercavitating Vehicle
IEEE Access, 2021 This paper proposes an adaptive sliding mode control strategy based on RBF (Radial Basis Function) neural network for the supercavitating vehicle system with model uncertainties and external disturbance.
Wang Jinghua +4 more
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Adaptive Backstepping Terminal Sliding Mode Control of Nonlinear System Using Fuzzy Neural Structure
Mathematics, 2023 An adaptive backstepping terminal sliding mode control (ABTSMC) method based on a multiple−layer fuzzy neural network is proposed for a class of nonlinear systems with parameter variations and external disturbances in this study.
Xiaoyu Gong +3 more
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