Journal ArticleDOI
Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
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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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Adaptive control for a class of nonlinear systems with state constraints and distributed time-varying delay
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Spherical Orbit Tracking and Formation Flying for Nonholonomic Aircraft-Like Vehicles With Directed Interactions and Unknown Disturbances
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Intelligent motion control of unmanned surface vehicles: A critical review
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Trajectory tracking control of underactuated surface vessel with output tracking error constraints
Shi-Lu Dai,Fang Chong,Shude He +2 more
TL;DR: In this article, the tracking control problem for underactuated surface vessels with unknown time-varying disturbances is studied and a disturbance observer-based tracking control is developed to steer the vessel along a desired reference trajectory with guaranteeing the tracking errors within certain predefined bounds.
Proceedings ArticleDOI
Containment control of networked autonomous underwater vehicles using output information
Zhouhua Peng,Dan Wang,Jun Wang +2 more
TL;DR: This paper considers the containment control of networked autonomous underwater vehicles in the presence of multiple dynamic leaders under a directed graph using distributed output-feedback containment controllers based on an observer, a tracking differentiator, iterative neural networks, and a dynamic surface control technique, under which containment can be achieved regardless of model uncertainty.
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.