Deadzone Compensation Based Boundary Control for Flexible Aerial Refueling Hose with Output Constraint

  • Zhijie LiuEmail author
  • Jinkun Liu
Part of the Springer Tracts in Mechanical Engineering book series (STME)


In this chapter, we consider the vibration suppression problem of a flexible hose system subject to input deadzone, output constraint and external disturbances.


  1. 1.
    He W, Ge SS (2015) Vibration control of a flexible beam with output constraint. IEEE Trans Ind Electron 62(8):5023–5030CrossRefGoogle Scholar
  2. 2.
    He W, Ge SS (2016) Cooperative control of a nonuniform gantry crane with constrained tension. Automatica 66:146–154MathSciNetCrossRefGoogle Scholar
  3. 3.
    He W, Ouyang Y, Hong J (2017) Vibration control of a flexible robotic manipulator in the presence of input deadzone. IEEE Trans Ind Inform 13(1):48–59CrossRefGoogle Scholar
  4. 4.
    He W, Sun C, Ge SS (2015) Top tension control of a flexible marine riser by using integral-barrier Lyapunov function. IEEE/ASME Trans Mechatron 20(2):497–505CrossRefGoogle Scholar
  5. 5.
    He W, Zhang S, Ge SS (2014) Adaptive control of a flexible crane system with the boundary output constraint. IEEE Trans Ind Electron 61(8):4126–4133CrossRefGoogle Scholar
  6. 6.
    Ren B, Ge SS, Tee KP, Lee TH (2010) Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function. IEEE Trans Neural Netw 21(8):1339–1345Google Scholar
  7. 7.
    Shyu K-K, Liu W-J, Hsu K-C (2005) Design of large-scale time-delayed systems with dead-zone input via variable structure control. Automatica 41(7):1239–1246MathSciNetCrossRefGoogle Scholar
  8. 8.
    Tee KP, Ren B, Ge SS (2011) Control of nonlinear systems with time-varying output constraints. Automatica 47(11):2511–2516MathSciNetCrossRefGoogle Scholar
  9. 9.
    Wang X-S, Su C-Y, Henry H (2004) Robust adaptive control of a class of nonlinear systems with unknown dead-zone. Automatica 40(3):407–413MathSciNetCrossRefGoogle Scholar
  10. 10.
    Yang Q, Chen M (2015) Adaptive neural prescribed performance tracking control for near space vehicles with input nonlinearity. Neurocomputing 80(3):1509–1520Google Scholar

Copyright information

© Tsinghua University Press 2020

Authors and Affiliations

  1. 1.School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijingChina
  2. 2.School of Automation Science and Electrical EngineeringBeihang UniversityBeijingChina

Personalised recommendations