Results 21 to 30 of about 158,186 (268)
Neural Network Predictive Control Approach Design for Adaptive Cruise Control
International Journal of Technology, 2020 As one part of the advanced driver assistance systems (ADAS), adaptive cruise control (ACC) is introduced to reduce the possibility of traffic accidents by controlling the throttle and the pressure on the brakes to maintain a safe distance from the ...
Pratama Mahadika +2 more
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Composite adaptation for neural network-based controllers [PDF]
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009 With the motivation of using more information to update the parameter estimates to achieve improved tracking performance, composite adaptation that uses both the system tracking errors and a prediction error containing parametric information to drive the update laws, has become widespread in adaptive control literature.
Parag M. Patre +3 more
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International Journal of Advanced Robotic Systems, 2017 A robust adaptive neural control scheme based on a back-stepping technique is developed for the longitudinal dynamics of a flexible hypersonic flight vehicle, which is able to ensure the state tracking error being confined in the prescribed bounds, in ...
Zhonghua Wu +4 more
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Complexity, 2022 To improve the trajectory tracking accuracy, the anti-jamming performance, and the environment adaptability of a quadrotor, the paper proposes a new adaptive trajectory tracking algorithm with multilayer neural network and sliding mode control method ...
Kang Niu +4 more
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IEEE AccessConsidering the strong nonlinearities, aerodynamic uncertainties, and external disturbances exhibited by fighter aircrafts during high angle-of-attack (AOA) maneuvers, this article proposes a neural learning control strategy based on online recorded data
Jiashang Yu, Jiaju Yu
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Complexity, 2020 This brief addresses the position and attitude tracking fixed-time practical control for quadrotor unmanned aerial vehicles (UAVs) subject to nonlinear dynamics.
Jianhua Zhang, Yang Li, Wenbo Fei
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FSE-RBFNNs-Based Robust Adaptive DSC Design for a Larger Class of Nonlinear Strict-Feedback Systems
IEEE Access, 2019 A novel set-invariance adaptive neural dynamic surface (DSC) control scheme is presented for an extended class of the periodically disturbed nonlinear MIMO strict-feedback systems whose control gain functions are possibly unbounded.
Ning Wang +3 more
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IEEE Access, 2022 This paper investigates an event-triggered adaptive neural tracking control issue for flexible-joint robot (FJR) systems subject to unknown dynamic and input saturation.
Xinglei Xu, Shiwei Xu
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Adaptive neural tracking control for near-space vehicles with stochastic disturbances
International Journal of Advanced Robotic Systems, 2017 In this article, an adaptive neural tracking controller is designed for near-space vehicles with stochastic disturbances and unknown parametric uncertainties.
Xiaohui Yan +3 more
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Research the adaptive neural networks using possibility in control systems for cycle chemistry at thermal power plants [PDF]
E3S Web of ConferencesThe study is devoted to the analysis of the learning possibilities of adaptive neural networks in the context of water-chemical regime management systems.
Yegoshina Olga +3 more
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