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Bioinspired neurodynamics based formation control for unmanned surface vehicles with line-of-sight range and angle constraints

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TLDR
Simulation results verify that under the proposed method, the LOS range and angle errors can converge into an arbitrary small neighborhood around 0, while the requirements of the constraints are never violated during the maneuver.
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This article is published in Neurocomputing.The article was published on 2021-02-15. It has received 25 citations till now.

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Robust saturated dynamic surface controller design for underactuated fast surface vessels including actuator dynamics

TL;DR: Adapt neural networks and adaptive robust controllers are combined to develop a novel saturated dynamic surface controller that compensates the effects of unknown system dynamics, actuator nonlinearity, external kinematic, dynamic and actuator disturbances simultaneously.
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Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions

TL;DR: In this paper , a safety-critical control method for multiple underactuated autonomous surface vehicles (ASVs) in the presence of multiple stationary/moving obstacles is proposed for achieving a collision-free containment formation.
Journal ArticleDOI

Event-triggered compound learning tracking control of autonomous surface vessels in the measurement network

TL;DR: A model-based event-triggered control (MBETC) scheme is presented by using the compound learning technique, which combines the learning of the ESN and the estimation of the compound disturbance, and can achieve the good understanding of synthetic uncertainties.
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Adaptive finite-time event-triggered control of marine surface vehicles with prescribed performance and output constraints

TL;DR: The stability analysis demonstrates that all error signals of the closed-loop system can converge into a small neighborhood around zero in finite time under the proposed method, meanwhile the prescribed bounds on the tracking errors will never be violated.
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Distributed Affine Formation Maneuver Control of Autonomous Surface Vehicles With Event-Triggered Data Transmission Mechanism

TL;DR: In this paper , the authors investigated the distributed affine formation maneuver control for collaborative autonomous surface vehicles (ASVs) systems with the event-triggered data transmission mechanism among inter-ASVs.
References
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Journal ArticleDOI

A quantitative description of membrane current and its application to conduction and excitation in nerve

TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
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Nonlinear neural networks: Principles, mechanisms, and architectures

TL;DR: An historical discussion is provided of the intellectual trends that caused nineteenth century interdisciplinary studies of physics and psychobiology by leading scientists such as Helmholtz, Maxwell, and Mach to splinter into separate twentieth-century scientific movements.
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Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints

TL;DR: Adaptive neural network control for the robotic system with full-state constraints is designed, and the adaptive NNs are adopted to handle system uncertainties and disturbances.
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Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints

TL;DR: The auxiliary design system is introduced to analyze the effect of input constraints, and its states are used to adaptive tracking control design, and the closed-loop semi-global uniformly ultimate bounded stability is achieved via Lyapunov synthesis.
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Leader-follower formation control of underactuated autonomous underwater vehicles

TL;DR: In this article, a leader-follower formation control of multiple underactuated autonomous underwater vehicles (AUVs) is proposed, where the follower tracks a reference trajectory based on the leader position and predetermined formation without the need for leader's velocity and dynamics.
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