Simple adaptive control of uncertain systems

  • Izhak Bar-Kana, Howard Kaufman
  • International Journal of Adaptive Control and Signal Processing, June 1988, Wiley
  • DOI: 10.1002/acs.4480020206

What is it about?

This paper considers adaptive control of various systems with unknown time-varying or non-linear dynamics in an attempt to show that practical adaptive control can be simple and robust. The simplified adaptive control methodology used is based on the observation that most real-world systems, even nonstationary or non-linear, can be stabilized by simple controller configurations. More complex controllers may be needed only in order to improve the performance of the control systems. In the adaptive scheme, the stabilizability properties of the plants are used only to satisfy the necessary conditions that guarantee robustness of simple adaptive controllers. The desired performance is then imposed upon the plant by these adaptive controllers, which force the plant to follow the input-output behavior of low-order reference models. Examples from the recent literature of control with uncertainty are used to illustrate the power of these adaptive techniques.

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