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Title of Journal: Int J Control Autom Syst

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Abbravation: International Journal of Control, Automation and Systems

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Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers

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10.1007/s11356-016-7983-4

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2005-4092

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Parameter convergence in adaptive feedback lineari

Authors: Narayan Ananthkrishnan Rashi Bansal Himani Jain Nitin Gupta
Publish Date: 2011/01/08
Volume: 8, Issue: 6, Pages: 1198-1211
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Abstract

Adaptive feedback linearizing control schemes are used to suppress limit cycle oscillations in nonlinear systems where the system parameters are either unknown or uncertain Parameter convergence is desirable in these schemes as it provides a measure of robustness of the scheme and also permits the unknown/uncertain system parameters to be estimated In recent work we have shown how using a persistently exciting forcing it is possible to achieve parameter convergence in nonlinear limit cycling systems In practice however limits on the control input to the plant due to saturation must be considered and the main goal of this work is to analyze the effect of input saturation on parameter convergence in an adaptive feedback linearization framework In particular a technique known as control hedging is incorporated and the effectiveness of this method for very severe saturation constraints has been evaluated Results are presented for a single degreeoffreedom wing rock dynamics model and a multi degreeoffreedom combustion acoustics model showing successful parameter convergence even in the presence of input saturationNarayan Ananthkrishnan holds a PhD in Aerospace Engineering and has over 16 years experience in academia and industry working on design analysis of aerospace systems especially airbreathing engines modeling simulation dynamics control and computational tools for stability bifurcation analysis

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  1. Finite-time control for discrete-time switched systems with time delay
  2. Backward orientation tracking control of mobile robot with N trailers
  3. Autopilots for small unmanned aerial vehicles: A survey
  4. An LMI Approach to consensus in second-order multi-agent systems
  5. A Gaussian distributed resampling algorithm for mitigation of sample impoverishment in particle filters
  6. Periodic use of time-varying state feedbacks for the receding horizon control of bilinear systems
  7. Non-symmetric unscented transformation with application to in-flight alignment
  8. Optimized ellipsoid algorithm for LMI feasibility problems
  9. Improved stability criteria for T-S fuzzy systems with time-varying delay by delay-partitioning approach
  10. High gain adaptive observer design for sensorless state and parameter estimation of induction motors
  11. Adaptive consensus control for multiple Euler-Lagrange systems with external disturbance
  12. Position coordinate representation of flying arrow and analysis of its performance indicator
  13. Exploration of unknown object by active touch of robot hand
  14. A recursive state estimator in the presence of state inequality constraints
  15. Over networks H ∞ filtering for discrete singular jump systems with interval time-varying delay
  16. A grey probability measure set based mobile robot position estimation algorithm
  17. Fault diagnosis and fault tolerant control for non-Gaussian time-delayed singular stochastic distribution systems
  18. The localization of a mobile robot using a pseudolite ultrasonic system and a dead reckoning integrated system
  19. Lyapunov-based feedback design and experimental verification of IC engine speed control
  20. Cadaver study for spinal fusion surgery using an image-guided surgical robot system
  21. Nonlinear decoupling control of four-wheel-steering vehicles with an observer
  22. Motion control of an omnidirectional mobile platform for trajectory tracking using an integral sliding mode controller
  23. Robust control under constraints of linear systems with Markovian jumps
  24. Robust stabilization of singular markovian jump systems with uncertain switching
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