Journal ArticleDOI
Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
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TLDR
A robust adaptive formation controller is developed by employing neural network and dynamic surface control technique and is able to capture the vehicle dynamics without exact information of coriolis and centripetal force, hydrodynamic damping and disturbances from the environment.Abstract:
In this brief, we consider the formation control problem of underactuated autonomous surface vehicles (ASVs) moving in a leader-follower formation, in the presence of uncertainties and ocean disturbances. A robust adaptive formation controller is developed by employing neural network and dynamic surface control technique. The stability of the design is proven via Lyapunov analysis where semiglobal uniform ultimate boundedness of the closed-loop signals is guaranteed. The advantages of the proposed formation controller are that: first, the proposed method only uses the measurements of line-of-sight range and angle by local sensors, no other information about the leader is required for control implementation; second, the developed neural formation controller is able to capture the vehicle dynamics without exact information of coriolis and centripetal force, hydrodynamic damping and disturbances from the environment. Comparative analysis with a model-based approach is given to demonstrate the effectiveness of the proposed method.read more
Citations
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Book ChapterDOI
An Asymptotically Stable Identifier Design for Unmanned Surface Vehicles Based on Neural Networks and Robust Integral Sign of the Error
TL;DR: A robust identifier is developed for unmanned surface vehicles (USVs) subject to uncertain dynamics and can be used in a variety of practical settings such as trajectory tracking and formation control of marine vehicles for achieving better performance.
Journal ArticleDOI
The wave interference and the wave drag of a leader–follower ship fleet
TL;DR: In this article , the wave interference and the corresponding effects on the wave drag of the leader-follower ship fleet are investigated via a 4-point model and the Neumann-Michell potential flow computation.
Journal ArticleDOI
Wave-filtering finite-time self-learning extended state observers for robotic surface vehicles
TL;DR: In this paper , a wave-filtering finite-time self-learning extended state observer for robotic surface vehicles subject to unknown control gains and ocean disturbances is presented, where wave-frequency motion components are filtered from the position and yaw angle sensor measurements to avoid mechanical wear and tear of the propulsion system components caused by wavefrequency motion signals.
Journal ArticleDOI
Robust adaptive synchronized event-triggered formation control of USVs with the fault amendment strategy
TL;DR: In this article , a robust adaptive synchronized event-triggered formation control method is proposed under the usage of the event triggered control (ETC) and robust neural damping technique.
Book ChapterDOI
Neural-Network-Based Modular Dynamic Surface Control for Surge Speed Tracking of an Unmanned Surface Vehicle Driven by a DC Motor.
TL;DR: The proposed surge velocity tracking controller is able to track any time-varying bounded velocity profiles and the stability of the closed-loop system is established based on cascade theory and input-to-state stability (ISS) theory.
References
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Journal ArticleDOI
Approximation capabilities of multilayer feedforward networks
TL;DR: It is shown that standard multilayer feedforward networks with as few as a single hidden layer and arbitrary bounded and nonconstant activation function are universal approximators with respect to L p (μ) performance criteria, for arbitrary finite input environment measures μ.
Journal ArticleDOI
Information flow and cooperative control of vehicle formations
J.A. Fax,Richard M. Murray +1 more
TL;DR: A Nyquist criterion is proved that uses the eigenvalues of the graph Laplacian matrix to determine the effect of the communication topology on formation stability, and a method for decentralized information exchange between vehicles is proposed.
Journal ArticleDOI
Behavior-based formation control for multirobot teams
Tucker Balch,Ronald C. Arkin +1 more
TL;DR: New reactive behaviors that implement formations in multirobot teams are presented and evaluated and demonstrate the value of various types of formations in autonomous, human-led and communications-restricted applications, and their appropriateness in different types of task environments.
Journal ArticleDOI
Dynamic surface control for a class of nonlinear systems
TL;DR: A method is proposed for designing controllers with arbitrarily small tracking error for uncertain, mismatched nonlinear systems in the strict feedback form and it is shown that these low pass filters allow a design where the model is not differentiated, thus ending the complexity arising due to the "explosion of terms" that has made other methods difficult to implement in practice.
Journal ArticleDOI
Information flow and cooperative control of vehicle formations
TL;DR: It is demonstrated how exchange of minimal amounts of information between vehicles can be designed to realize a dynamical system which supplies each vehicle with a shared reference trajectory.