Adaptive robust control of a class of nonlinear systems in semi-strict feedback form with non-uniformly detectable unmeasured internal states

Lu Lu, Bin Yao

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper proposes a novel control method for a special class of nonlinear systems in semi-strict feedback form. The main characteristic of this class of systems is that the unmeasured internal states are non-uniformly detectable, which means that no observer for these states can be designed to make the observation error exponentially converge to zero. In view of this, a projection-based adaptive robust control law is developed in this paper for this kind of system. This method uses a projection-type adaptation algorithm for the estimation of both the unknown parameters and the internal states. Robust feedback term is synthesized to make the system robust to uncertain nonlinearities and disturbances. Although the estimation error for both the unknown parameters and the internal states may not converge to zero, the tracking error of the closed-loop system is proved to converge to zero asymptotically if the system has only parametric uncertainties. Furthermore, it is theoretically proved that all the signals are bounded, and the control algorithm is robust to bounded disturbances and uncertain nonlinearities with guaranteed output tracking transient performance and steady-state accuracy in general. The class of system considered here has wide engineering applications, and a practical example'control of mechanical systems with dynamic friction'is used as a case study. Simulation results are obtained to demonstrate the applicability of the proposed control methodology.

Original languageEnglish (US)
Pages (from-to)961-981
Number of pages21
JournalInternational Journal of Adaptive Control and Signal Processing
Volume24
Issue number11
DOIs
StatePublished - Nov 1 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • adaptive robust control
  • dynamic friction
  • dynamic uncertainties
  • nonlinear control

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