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Cooperative path-following control with logic-based communications: theory and practice

Cooperative path-following control with logic-based communications: theory and practice

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This chapter introduces an event-driven, logic-based communication system for decentralized control of a network of nonlinear systems (agents) with the objective of driving their outputs along predefined paths at desired speeds, while holding a desired formation pattern compatible with the paths. An extended cooperative path following (CPF) framework is adopted where communications among agents take place at discrete time instants, instead of continuously. The communication system takes into account explicitly the topology of the communications network, the fact that communications are discrete, and the cost of exchanging information among agents. The theoretical framework adopted allows for the consideration of communication losses and bounded delays. Conditions are derived under which the resulting multi-agent closed-loop system is input-to-state stable, that is stable and with guaranteed levels of performance in the presence of bounded external disturbances and measurement noise. The set-up derived is used to solve the problem of CPF control of multiple underactuated autonomous marine vehicles. The results of experimental field tests with a group of marine vehicles are presented and discussed.

Chapter Contents:

  • Abstract
  • 8.1 Introduction
  • 8.1.1 Chapter structure
  • 8.1.2 Notation
  • 8.2 Cooperative path-following control system architecture
  • 8.3 Problem statement
  • 8.3.1 Path-following problem
  • 8.3.2 Coordination control problem
  • 8.3.3 Cooperative path-following
  • 8.3.4 Logic-based communication system
  • 8.4 Controller design: CPF for multipleAMVs
  • 8.4.1 Vehicle model
  • 8.4.2 Path-following controller
  • 8.4.3 Coordination controller
  • 8.4.4 Logic-based communication system
  • Ideal communication links
  • Delayed information
  • Communication losses
  • 8.4.5 Stability of the overall-closed loop system
  • 8.5 Field tests withAMVs
  • 8.5.1 Test set-up
  • 8.5.2 Results
  • Test with = 0.2
  • Test with = 0.6
  • Test with = 1.4
  • 8.6 Conclusions
  • Acknowledgements
  • Appendix A
  • References

Inspec keywords: cooperative systems; marine vehicles; nonlinear control systems; delays; decentralised control; multi-robot systems; mobile robots; path planning; multi-agent systems; closed loop systems; position control

Other keywords: logic-based communication system; CPF control; discrete time instants; multiple underactuated autonomous marine vehicles; communications network topology; cooperative path-following control; input-to-state stable; bounded delays; nonlinear systems; CPF framework; formation pattern; communication losses; multiagent closed-loop system

Subjects: Marine system control; Mobile robots; Nonlinear control systems; Distributed parameter control systems; Multivariable control systems; Spatial variables control

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