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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) |
Observer-Based Output Tracking Controllers BOOK CHAPTER published 27 August 1998 in Sliding Mode Control |
Integral Sliding Mode Trajectory Tracking Control for UG Based on RBF Neural Network Observer PROCEEDINGS ARTICLE published 24 July 2023 in 2023 42nd Chinese Control Conference (CCC) Research funded by National Natural Science Foundation (NNSF) of China (62073237) |
Improved Sliding Mode Output Feedback Control with Adaptive State Observer Based on Neural Network PROCEEDINGS ARTICLE published 24 July 2023 in 2023 42nd Chinese Control Conference (CCC) Research funded by National Natural Science Foundation of China (51975294) | Fundamental Research Funds for the Central Universities (30922010706) |
Nonlinear Disturbance Observer Based Adaptive Dynamic Surface Control for Full Actuated Ship Trajectory Tracking PROCEEDINGS ARTICLE published July 2018 in 2018 13th World Congress on Intelligent Control and Automation (WCICA) |
An output feedback tracking control based on neural sliding mode and high order sliding mode observer PROCEEDINGS ARTICLE published July 2017 in 2017 10th International Conference on Human System Interactions (HSI) |
RBF Dynamic Surface Sliding-mode Output Feedback Tracking Control for Fully Actuated Ships Based on ESO PROCEEDINGS ARTICLE published July 2019 in 2019 Chinese Control Conference (CCC) |
Trajectory linearization method based on sliding mode observer for unmanned helicopter trajectory tracking control PROCEEDINGS ARTICLE published June 2018 in 2018 Chinese Control And Decision Conference (CCDC) |
State-Feedback Output Tracking Via a Novel Optimal-Sliding Mode Control BOOK CHAPTER published 28 June 2017 in Recent Developments in Sliding Mode Control Theory and Applications |
Dynamic output feedback RBF neural network sliding mode control for robust tracking and model following JOURNAL ARTICLE published January 2015 in Nonlinear Dynamics |
Adaptive sliding mode disturbance observer–based funnel trajectory tracking control of quadrotor with external disturbances JOURNAL ARTICLE published September 2021 in IET Control Theory & Applications Research funded by National Natural Science Foundation of China (61720106010,61803033) |
Output feedback sliding mode control with finite time trajectory tracking performance for the hypersonic vehicles PROCEEDINGS ARTICLE published July 2017 in 2017 36th Chinese Control Conference (CCC) |
Adaptive Sliding Mode Neural Network-Based Composite Control of Robot Manipulators for Trajectory Tracking PROCEEDINGS ARTICLE published August 2020 in 2020 Chinese Control And Decision Conference (CCDC) |
Ship Trajectory Tracking Control System Design Based on Sliding Mode Control Algorithm JOURNAL ARTICLE published 1 September 2018 in Polish Maritime Research |
Adaptive sliding mode robust control based on multi‐dimensional Taylor network for trajectory tracking of quadrotor UAV JOURNAL ARTICLE published September 2020 in IET Control Theory & Applications |
Extended Sliding Mode Observer-Based Output Feedback Control for Motion Tracking of Electro-Hydrostatic Actuators JOURNAL ARTICLE published 17 October 2023 in Mathematics Research funded by Ministry of Education (2021RIS-003) |
Sliding mode output feedback control based on tracking error observer with disturbance estimator JOURNAL ARTICLE published July 2014 in ISA Transactions |
Fixed-time Trajectory Tracking Control for Underactuated Surface Vehicle Based on Sliding Mode and Neural Network PROCEEDINGS ARTICLE published 6 August 2023 in 2023 IEEE International Conference on Mechatronics and Automation (ICMA) |
Output feedback sliding mode control based on adaptive sliding mode disturbance observer JOURNAL ARTICLE published July 2022 in Measurement and Control Research funded by Natural Science Foundation of Tianjin under Grant Number (19JCTPJC48600) |
Trajectory Tracking Control of an Underactuated UUV Using a Novel Nonlinear Integral Sliding Mode Surface PROCEEDINGS ARTICLE published July 2018 in 2018 37th Chinese Control Conference (CCC) |