Citation Izquierdo-Garcia, David, Kevin T Chen, Adam E Hansen, Stefan Förster, Didier Benoit, Sylvia Schachoff, Sebastian Fürst, Daniel B Chonde, and Ciprian Catana. 2014. “New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods.” EJNMMI Physics 1 (1): A29. doi:10.1186/2197-7364-1-S1-A29. http://dx.doi.org/10.1186/2197-736...

We formally verify a direct model-reference adaptive control (MRAC) method that is used to enable flight control in adverse conditions. We use the bounded verification approach and verify the system by introducing templates for both the assumptions and the guarantees, and using the tool QEPCAD to solve the resulting exists-forall formula. We also present results from an analysis performed on in...

In this paper, Cascade PI Controller-Based Robust Model Reference Adaptive Control (MRAC) of a DC-DC boost converter is presented. Non-minimum phase behaviour the due to right half plane zero constitutes challenge and its non-linear dynamics complicate control process while operating in continuous conduction mode (CCM). The proposed scheme efficiently resolved complications challenges by using ...

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...

In this paper, a new and novel mathematical fuzzy hybrid scheme is proposed for the stabilization of a tri-rotor unmanned aerial vehicle (UAV). The fuzzy hybrid scheme consists of a fuzzy logic controller, regulation pole-placement tracking (RST) controller with model reference adaptive control (MRAC), in which adaptive gains of the RST controller are being fine-tuned by a fuzzy logic controlle...

The adaptive filter model of the cerebellar microcircuit has been successfully applied to biological motor control problems, such as the vestibulo-ocular reflex (VOR), and to sensory processing problems, such as the adaptive cancelation of reafferent noise. It has also been successfully applied to problems in robotics, such as adaptive camera stabilization and sensor noise cancelation. In previ...