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An Unscented Kalman Filter Online Identification Approach for a Nonlinear Ship Motion Model Using a Self-Navigation Test
2022
Machines
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This paper proposes a method for the online parameter identification of nonlinear ship motion systems. ...
To achieve the effect of real-time identification, we adopted an online receding horizon identification method. ...
Based on a selfnavigation model test, unknown parameters in the ship motion system are identified online by using a combination of receding horizon denoising and a UKF algorithm while collecting relevant ...
doi:10.3390/machines10050312
fatcat:s7klszak6nftpnwvye3bciw5zu
A Combined Multiple Model Adaptive Control Scheme and Its Application to Nonlinear Systems With Nonlinear Parameterization
2012
IEEE Transactions on Automatic Control
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Author's reply to comments on "Decentralized stabilization of intercon- ...
., +, TAC Jan. 2012 19-32 Receding Horizon Control Strategies for Constrained LPV Systems Based on a Class of Nonlinearly Parameterized Lyapunov Functions. ...
., +, TAC June 2012 1431-1444 Receding Horizon Control Strategies for Constrained LPV Systems Based on a Class of Nonlinearly Parameterized Lyapunov Functions. ...
doi:10.1109/tac.2011.2176162
fatcat:2airdooti5fi7kmuozmodywcga
Leveraging Past Experience for Path planning of Marine Vessel: A Docking Example
2022
Modeling, Identification and Control
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A deep conditional generative model is used to learn the distribution from those experiences. The model is then combined with the sampling-based RRT* planning algorithm to guide the search process. ...
The docking operation is used as an example to validate the method. ...
Acknowledgments This work is supported by a grant from the Research Council of Norway through the Knowledge-Building Project for industry "Digital Twins For Vessel Life Cycle Service" (Project nr. 280703 ...
doi:10.4173/mic.2022.3.2
fatcat:oqtfmvtxejeevbaduuvmnvlxui
Formation control of multiple autonomous underwater vehicles: a review
2023
Intelligence & Robotics
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Based on that, a brief discussion is made, and a list of promising future work is pointed out, which aims to be helpful for the further promotion of AUVs formation applications. ...
Several commonly used structures and approaches for formation coordination are listed, and the advantages and deficiencies of each method are discussed. ...
Following the same ideas, the authors [113] developed a leader-follower based receding horizon kinematic controller for formation control of a constrained underactuated AUV. ...
doi:10.20517/ir.2023.01
fatcat:yx6dhbam5rb3jjp65sxnw6ufxy
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions
2021
Sensors
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In this paper, the multi-ship control problem is addressed using a model predictive controller (MPC) that makes use of obstacle ship trajectory prediction models built on the RBF framework and is trained ...
on real AIS data sourced from an open-source database. ...
In [11] , motion planning for an autonomous vessel using a sampling-based MPC method takes place. ...
doi:10.3390/s21216959
pmid:34770266
pmcid:PMC8588155
fatcat:ha5275b5v5ep7klexadlzqp72q
Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems
2018
Applied Energy
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Model predictive control (MPC) is an effective optimization-based approach [20] . ...
In order to address this issue, this paper explores a real-time model predictive control based energy management strategy for load fluctuation mitigation in all-electric ships. ...
(7) , the HESS with bi-directional converters model is nonlinear, and its control requires a robust nonlinear approach. ...
doi:10.1016/j.apenergy.2018.08.079
fatcat:xi74ql4sljf4bpwdw6vmrpasjy
2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TSMC March 2021 1954-1965 Receding Horizon Synchronization of Delayed Neural Networks Using a Novel Inequality on Quadratic Polynomial Functions. ...
., +, TSMC June 2021 3820-3831 Receding Horizon Synchronization of Delayed Neural Networks Using a Novel Inequality on Quadratic Polynomial Functions. ...
doi:10.1109/tsmc.2021.3136054
fatcat:b5hcsfwjw5hllpenqmaq6wpke4
A Survey on Learning-Based Model Predictive Control: Toward Path Tracking Control of Mobile Platforms
2022
Applied Sciences
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The learning-based model predictive control (LB-MPC) is an effective and critical method to solve the path tracking problem in mobile platforms under uncertain disturbances. ...
The model predictive control (MPC) provides an integrated solution for control systems with interactive variables, complex dynamics, and various constraints. ...
Acknowledgments: The authors would like to thank all anonymous reviewers and editors for their helpful suggestions for the improvement of this paper. ...
doi:10.3390/app12041995
fatcat:hdy753pdbfhjvihdopaw6lip2u
2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50
2020
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TSMC May 2020 1877-1884 Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach. ...
., +, TSMC May 2020 1877-1884 Improved Control for Industrial Systems Over Model Uncertainty: A Receding Horizon Expanded State Space Control Approach. ...
doi:10.1109/tsmc.2021.3054492
fatcat:zartzom6xvdpbbnkcw7xnsbeqy
[IEEE Robotics & Automation Society]
2012
IEEE robotics & automation magazine
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approach for motion planning for a car-like robot which is based on a surfaced roadmap concept. ...
action to be applied to the robot in a receding horizon fashion. ...
doi:10.1109/mra.2012.2229854
fatcat:rjrxtwk4jbcgjpvjdad6mougsq
IEEE Robotics & Automation Society
2012
IEEE robotics & automation magazine
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approach for motion planning for a car-like robot which is based on a surfaced roadmap concept. ...
action to be applied to the robot in a receding horizon fashion. ...
doi:10.1109/mra.2012.2230568
fatcat:33actbknxrel3jnag2kx7cncem
IEEE Robotics & Automation Society
2011
IEEE robotics & automation magazine
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approach for motion planning for a car-like robot which is based on a surfaced roadmap concept. ...
action to be applied to the robot in a receding horizon fashion. ...
doi:10.1109/mra.2011.941112
fatcat:owvu2behc5hulpcae2dp5myigm
IEEE Robotics & Automation Society
2011
IEEE robotics & automation magazine
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approach for motion planning for a car-like robot which is based on a surfaced roadmap concept. ...
action to be applied to the robot in a receding horizon fashion. ...
doi:10.1109/mra.2011.943480
fatcat:d2wvloyv6jcbzp2yathd52mx2u
Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics
2019
Control Engineering Practice
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Motion control is one of the most critical aspects in the design of autonomous ships. ...
In this paper, an adaptive control approach is proposed to control the motion and trajectory tracking of an autonomous vessel by adopting neural networks that is used for estimating the dynamics of the ...
In [7] , a maneuvering model for a ship is extracted and an adaptive controller is implemented to control and estimate the ship parameters. ...
doi:10.1016/j.conengprac.2019.104116
fatcat:o5gwdmug2jgaxembxzqrcigonm
Scanning the Issue
2022
IEEE transactions on intelligent transportation systems (Print)
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Cassandras An event-driven receding horizon control (RHC) scheme is developed for a Mobility-on Demand System (MoDS) where vehicles may be shared and controlled dynamically to pick up and drop off passengers ...
Optimal Assignments in Mobility-on-Demand Systems Using Event-Driven Receding Horizon Control R. Chen and C. G. ...
doi:10.1109/tits.2022.3152066
fatcat:szsznss35fc7rf43edw6xsibya
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