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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Proceedings ArticleDOI
Leader-following consensus control for multiple marine vessels based on dynamic surface control and neural network
TL;DR: In this article, a robust consensus tracking controller for multiple marine vessels based on dynamic surface control (DSC) and neural network (NN) is proposed, where the unknown dynamics of the group of marine vessels, which are hard to be determined, are treated as one integrated nonlinear uncertainty, and the NN is employed to deal with it.
Proceedings ArticleDOI
Adaptive rigidity-based formation control of uncertain multi-robotic vehicles
Xiaoyu Cai,Marcio de Queiroz +1 more
TL;DR: A graph rigidity-based, adaptive formation control law for multiple robotic vehicles moving on the plane that explicitly accounts for the vehicle dynamics while allowing for parametric uncertainty is formulated.
An innovative distributed self-organizing control of unmanned surface vehicle swarm with collision avoidance
Dissertation
Nonlinear model predictive control for trajectory tracking and collision avoidance of surface vessels
TL;DR: This thesis presents a combined Nonlinear Model Predictive Control for trajectory tracking of surface vessels, and collision avoidance into a single control scheme suitable for critical maneuvering of autonomous vessels in near-collision situation.
Book ChapterDOI
Adaptive Terminal Sliding Mode Control for Formations of Underactuated Vessels
TL;DR: By using adaptive terminal sliding mode control method and finite time stability theory, the underactuated ships can reach and maintain the desired trajectory in finite time under the influence of unknown disturbance.
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.