Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function
By Wei He, Zhao Yin, Changyin Sun. IEEE Transactions on Cybernetics, 2017
405 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/338e89d137cc101f2fea220e48960da3e0ddf1c9
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In Computational Theory and Mathematics
In Control and Systems Engineering
Citations in the corpus
- Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (2019, background): “[21], barrier Lyapunov function (BLF) and integral BLF (IBLF) based approaches have been widely used to deal with state constraints for various nonlinear systems [5], [6], [9]–[16], [30]–[33], [37], [38], [40], [41].”
- Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback (2017, methodology): “Second, in contrast to the observer designs in [22], [24], and [26], the unknown vessel dynamics and unmeasured velocity information can be simultaneously identified.”
- Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks (2018, background): “constraints during motion control [16], [44], [45], [45]–[49].”
- Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance (2019, background): “the closed-loop system is a challenging issue, especially when the vehicle dynamics are subject to modeling uncertainties [12]– [17] and unknown disturbances from maritime environments”
- Teleoperation Control Based on Combination of Wave Variable and Neural Networks (2017, methodology): “In [38], an adaptive NN method was applied to achieve control of the uncertain marine vessel system.”
- Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, methodology): “References [8] and [9] take the input constraint into account, whereas [20] only considers the output constraint.”
- An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (2021, background): “[56], [57] aim to address output constraints, rather than”