Editor-in-Chief of the IJDTA Journal

Abstract A tremor is an involuntary, somewhat rhythmic, muscle contraction and relaxation involving to and from movements (oscillations or switching) of one or more body parts. It is the most common of all involuntary movements and can affect the hands, arms, eyes, face, head, vocal folds, trunk, and legs. Most tremors occur in the hands. In some people, tremor is a symptom of another neurological disorder. This research focuses on the design and analysis of a model reference-based controller for highly nonlinear dynamic multi degrees of freedom, in presence of hand tremors. In order to provide a high performance nonlinear methodology, the inverse dynamical controller is selected. The inverse dynamic controller is the type of model reference controller. It is nonlinear and stable controller. To reduce the challenges of this controller hybrid fuzzy controller is used. However, this method has many advantages, but it has challenged in presence of uncertainties. To solve this challenge model reference-based direct adaptive methodology is used and applied to hybrid inverse dynamic fuzzy controller.