Performance characteristics of an adaptive controller based on least-mean-square filters | Zendy

Rabindra D. Mehta | Zendy; S. J. Merhav | Zendy

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Performance characteristics of an adaptive controller based on least-mean-square filters

Author(s) -

Rabindra D. Mehta,

S. J. Merhav

Publication year - 1986

Publication title -

astrodynamics conference

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2514/6.1986-2160

Subject(s) - control theory (sociology) , square (algebra) , adaptive filter , controller (irrigation) , computer science , mathematics , mean squared error , statistics , algorithm , artificial intelligence , control (management) , agronomy , biology , geometry

A closed loop, adaptive control scheme that uses a least mean square filter as the controller model is presented, along with simulation results that demonstrate the excellent robustness of this scheme. It is shown that the scheme adapts very well to unknown plants, even those that are marginally stable, responds appropriately to changes in plant parameters, and is not unduly affected by additive noise. A heuristic argument for the conditions necessary for convergence is presented. Potential applications and extensions of the scheme are also discussed.

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