Model Reference Adaptive Control for MIMO Nonminimum Phase Discrete-Time Systems Using Approximate Inverse Systems

Retrospective Cost Model Reference Adaptive Control for Nonminimum-Phase Systems

T HE objective of model reference adaptive control (MRAC) is to control an uncertain system so that it behaves like a given referencemodel in response to specified referencemodel commands. MRAC has been studied extensively for both continuous-time [1–8] and discrete-time systems [7–12]. In addition, MRAC has been extended to various classes of nonlinear systems [13]. However, the direct adaptiv...

Analysis and Comparison of Three Discrete-Time Feedforward Model-Inverse Control Techniques for Nonminimum-Phase Systems

Noncollocated sensors and actuators, and/or fast sample rates with plants having high relative degree, can lead to nonminimumphase (NMP) discrete-time zero dynamics that complicate the control system design. In this paper, we examine three stable approximate model-inverse feedforward control techniques, the nonminimum-phase zeros ignore (NPZ-Ignore), the zero-phaseerror tracking controller (ZPE...

Direct Adaptive Control of Nonminimum Phase Systems Using Integral Action

This paper presents a direct adaptive control scheme for nonminimum phase systems in which controller parameters are estimated from the recursive least-squares algorithm, and additional auxiliary parameters are obtained from the proposed polynomial identity. A local convergence is guaranteed without any extra condition. Integral action is incorporated into the adaptive controller to eliminate t...

Adaptive control of nonminimum-phase systems using shifted Laurent series

channel estimation for mimo-ofdm systems

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