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MLP neural network-based recursive sliding mode dynamic surface control for trajectory tracking of fully actuated surface vessel subject to unknown dynamics and input saturation

JOURNAL ARTICLE published February 2020 in Neurocomputing

Research funded by National Natural Science Foundation of China (51579024,51879027,51809028) | Fundamental Research Funds for the Central Universities (3132019318)

Authors: Zhipeng Shen | Yannan Bi | Yu Wang | Chen Guo

Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions

JOURNAL ARTICLE published April 2014 in Neurocomputing

Authors: Zhaoxu Yu | Shugang Li

Neural network based adaptive dynamic surface control for cooperative path following of marine surface vehicles via state and output feedback

JOURNAL ARTICLE published June 2014 in Neurocomputing

Authors: Hao Wang | Dan Wang | Zhouhua Peng

Robust trajectory tracking control of an underactuated control moment gyroscope via neural network–based feedback linearization

JOURNAL ARTICLE published August 2020 in Neurocomputing

Authors: Javier Moreno–Valenzuela | Jorge Montoya–Cháirez | Víctor Santibáñez

Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle

JOURNAL ARTICLE published March 2009 in Neurocomputing

Authors: Ahmad Bagheri | Jalal Javadi Moghaddam

Prescribed finite-time adaptive neural trajectory tracking control of quadrotor via output feedback

JOURNAL ARTICLE published October 2021 in Neurocomputing

Authors: Mingyu Wang | Bing Chen | Chong Lin

Neuro-adaptive dynamic integral sliding mode control design with output differentiation observer for uncertain higher order MIMO nonlinear systems

JOURNAL ARTICLE published February 2017 in Neurocomputing

Authors: Qudrat Khan | Rini Akmeliawati

Observer-based event-triggered sliding mode control for uncertain descriptor systems with a neural-network event-triggering sampling scheme

JOURNAL ARTICLE published April 2020 in Neurocomputing

Research funded by National Natural Science Foundation of China (61673100,61673099)

Authors: Yuzhong Wang | Tie Zhang | Junchao Ren | Meng Chen

Neural-network-based adaptive output-feedback formation tracking control of USVs under collision avoidance and connectivity maintenance constraints

JOURNAL ARTICLE published August 2020 in Neurocomputing

Research funded by National Natural Science Foundation of China (61973129,61773169,U180920009,61971198) | Guangdong Natural Science Foundation (2017A030313381,2017A030313369,2019B151502058)

Authors: Chao Dong | Qingzhao Ye | Shi-Lu Dai

Sliding-Mode-Control-Theory-Based Adaptive General Type-2 Fuzzy Neural Network Control for Power-line Inspection Robots

JOURNAL ARTICLE published August 2020 in Neurocomputing

Authors: Tao Zhao | Jiahao Liu | Songyi Dian | Rui Guo | Shengchuan Li

Adaptive neural networks output feedback dynamic surface control design for MIMO pure-feedback nonlinear systems with hysteresis

JOURNAL ARTICLE published July 2016 in Neurocomputing

Research funded by National Natural Science Foundation of China (61203008,61374113,51179019) | Applied Basic Research Program of Ministry of Transport (2011-329-225-390,2013-329-225-270)

Authors: Yongming Li | Tieshan Li | Shaocheng Tong

Neural network-based H∞ sliding mode control for nonlinear systems with actuator faults and unmatched disturbances

JOURNAL ARTICLE published January 2018 in Neurocomputing

Research funded by National Natural Science Foundation of China (61433004,61627809)

Authors: Qiuxia Qu | Huaguang Zhang | Rui Yu | Yang Liu

Gain scheduled dynamic surface control for a class of underactuated mechanical systems using neural network disturbance observer

JOURNAL ARTICLE published January 2018 in Neurocomputing

Research funded by Science and Technology Department of Sichuan Province (2016JY0085) | National Natural Science Foundation of China (61703291)

Authors: Songyi Dian | Lin Chen | Son Hoang | Tao Zhao | Jiyong Tan

A compound control method based on the adaptive neural network and sliding mode control for inertial stable platform

JOURNAL ARTICLE published May 2015 in Neurocomputing

Research funded by National Basic Research Program of China (2013CB035503) | National Natural Science Foundation of China (61273033,61473019) | Beijing Municipal Natural Science Foundation (4132043)

Authors: Ying Zou | Xusheng Lei

Finite-time observer based tracking control of uncertain heterogeneous underwater vehicles using adaptive sliding mode approach

JOURNAL ARTICLE published April 2022 in Neurocomputing

Research funded by Sichuan Province Science and Technology Support Program (2020YFSY0012) | National Natural Science Foundation of China (61104104,61473061,71503206) | Ministry of Education of the People's Republic of China (21YJA630122) | Program for New Century Excellent Talents in University (NCET-13-0091)

Authors: Bo Chen | Jiangping Hu | Yiyi Zhao | Bijoy Kumar Ghosh

Adaptive neural dynamic surface control of MIMO pure-feedback nonlinear systems with output constraints

JOURNAL ARTICLE published March 2019 in Neurocomputing

Research funded by National Natural Science Foundation of China (61573307) | Natural Science Foundation of Jiangsu Province (BK20181218)

Authors: Heqing Liu | Tianping Zhang | Xiaonan Xia

Adaptive neural dynamic surface control of mechanical systems using integral terminal sliding mode

JOURNAL ARTICLE published February 2020 in Neurocomputing

Research funded by University of Tabriz (s/858)

Authors: Jafar Keighobadi | Mehran Hosseini-Pishrobat | Javad Faraji

Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer

JOURNAL ARTICLE published May 2018 in Neurocomputing

Research funded by National Science Foundation of China (U1531101) | Fundamental Research Funds for the Central Universities, China (26120122012B03714)

Authors: Xinjun Wang | Xinghui Yin | Fei Shen

Novel observer-based output feedback control synthesis of discrete-time nonlinear control systems via a fuzzy approach

JOURNAL ARTICLE published November 2016 in Neurocomputing

Research funded by China Postdoctoral Science Foundation Funded Project (2014M551110,N140404018) | National Natural Science Foundation of China (61403073)

Authors: Guotao Hui | Xiangpeng Xie

Observer-based adaptive event-triggered tracking control for nonlinear MIMO systems based on neural networks technique

JOURNAL ARTICLE published April 2021 in Neurocomputing

Authors: Sanxia Wang | Jianwei Xia | Wei Sun | Hao Shen | Huasheng Zhang