A new design methodology for a model reference adaptive controller (MRAC) is presented, which is applied to a brushed direct current (DC) motor with pendular load, whose exact model is unknown. This controller is designed for the trajectory tracking control problem, and the respective convergence analysis is presented. In order to avoid singularities in the controller equations, projectors are ...

In this paper, we develop two new model reference adaptive control (MRAC) schemes for a class of nonlinear dynamic systems that is robust with respect to an uncertain state (output) dependent nonlinear perturbations and/or external disturbances with unknown bounds. The design is based on a controller parametrization with an adaptive integral action. Two types of adaptive controllers are conside...

Presented here is the evaluation of multiple adaptive control technologies for a generic transport aircraft simulation. For this study, seven model reference adaptive control (MRAC) based technologies were considered. Each technology was integrated into an identical dynamic-inversion control architecture and tuned using a methodology based on metrics and specific design requirements. Simulation...

This paper presents an efficient compliance control scheme for legs of walking machines interacting with an uncertain environment and proposes an impact control based on neural system. The proposed method combines the technique of the indirect MRAC (Model Reference Adaptive Control) with the properties of self-learning neural nets. Present research is focused on the optimization of motion of me...

This paper presents a research effort focused on the problem of robust stability of the closed-loop adaptive system. It is aimed at providing a general framework for the investigation of continuous-time, state-space systems required to track a (stable) reference model. This is motivated by the model reference adaptive control (MRAC) scheme, traditionally considered in such a setting. The applic...

The problem of model reference adaptive control (MRAC) for nonlinear timevarying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant...

In the above paper,’ an alternative stability analysis was proposed for proving robust stability of model reference adaptive control (MRAC) that employs projection and static instead of dynamic normalization. It was shown in this paper that the analysis for the static normalization case follows directly from that used in the case of dynamic normalization using small in the mean rirguments. It w...

With the advent of time-of-flight (TOF) PET scanners, joint maximum-likelihood reconstruction of activity and attenuation (MLAA) maps has recently regained attention for the estimation of PET attenuation maps from emission data. However, the estimated attenuation and activity maps are scaled by unknown scaling factors. We recently demonstrated that in hybrid PET-MR, the scaling issue of this al...

Damage, failure, and other configuration variety of aircraft would make the model parameters changed uncertainly, and lead to unknown deviations of the equilibrium points and unexpected coupling characters. One type of fault-tolerant flight controller which contains model reference adaptive theory is released for dealing with these problems. Design requirement for fault-tolerant flight controll...