Direct model reference adaptive control using Kp = LDU factorization for multivariable discrete-time plants

Key words:  Discrete-time systems  Swapping lemma  L2±-norm  Normalizing signal  Model reference adaptive control

摘要:

Abstract:

For a large class of discrete-time multivariable plants with arbitrary relative degrees, the design and analysis of the direct model reference adaptive control scheme are investigated under less restrictive assumptions. The algorithm is based on a new parametrization derived from the high frequency gain matrix factorization Kp = LDU under the condition that the signs of the leading principal minors ofKp are known. By reproving the discrete-time Lp and L2± norm relationship between inputs and outputs, establishing the properties of discrete-time adaptive law, defining the normalizing signal, and relating the signal with all signals in the closed-loop system, the stability and convergence of the discrete-time multivariable model reference adaptive control scheme are analyzed rigorously in a systematic fashion as in the continuous-time case.