Stochastic model reference adaptive controllers

Abstract

The behaviour of Model Reference Adaptive Controllers (MRAC) shemes designed in the deterministre framework is analysed and studied in the stochastic environment. The case of discret single input - single output (SISO) minimum phase systems is considered. The analysis, based on the Ordinary Differential Equation (ODE) method of Ljung has lead to the development of MRAC designs, allowing the achievment of objectives both in deterministic and stochastic environments.

Keywords

STOCHASTIC PROCESSES
PROGRAMMABLE CONTROL
ADAPTIVE CONTROL
STOCHASTIC SYSTEMS
CONVERGENCE
CONTROL SYSTEMS
SILICON COMPOUNDS
DIFFERENTIAL EQUATIONS
DIGITAL CONTROL
DELAY

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