It is well known that undesirable transient responses and tracking performances have been frequently observed in traditional model reference adaptive control (MRAC) problems, especially for multivariable plants with unmodeled dynamics and output disturbances. In this paper, a new robust model reference adaptive control using variable structure design (VSD) is proposed to investigate the solutio...

In this paper model reference adaptive based fuzzy controller is presented .Model reference adaptive controller is very common approach to control linear systems, as it is simple to apply. However, the performance of the linear model reference adaptive control weakens up when the system becomes nonlinear. In this paper, the MRAFC has fast learning features and it has good tracking results even ...

1 New Results on Output-Feedback Variable Structure Model-Reference Adaptive Control: Design and Stability Analysis Liu Hsu, Fernando Lizarralde and Aldayr D. de Araújo Abstract The Variable Structure Model-Reference Adaptive Control (VS-MRAC) redesign and stability analysis, presented earlier for the case of plants with relative degree n 2, is generalized to the case of arbitrary n 1. This pap...

Turku PET Centre, Turku University Hospital, Turku, Finland This study was performed to evaluate the feasibility of preclinical imaging in a clinical PET/MR system. Preliminary sequences were evaluated for establishing preclinical protocols for rat brain and rabbit knee. Rats were placed in a stereotactic holder, allowing a 30 minute scan time before re-administration of anesthesia. In-house de...

In Model Reference Adaptive Control (MRAC) the modeling uncertainty is often assumed to be parameterized with time-invariant unknown ideal parameters. The convergence of parameters of the adaptive element to these ideal parameters is beneficial, as it guarantees exponential stability, and makes an online learned model of the system available. Most MRAC methods however, require Persistent Excita...