As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …

In this paper, we propose a biologically inspired framework for robot learning based on
demonstrations. The dynamic movement primitive (DMP), which is motivated by …

This paper presents a self-organizing control system based on cerebellar model articulation
controller (CMAC) for a class of multiple-input-multiple-output (MIMO) uncertain nonlinear …

This work takes advantage of synergetic control theory and fractional calculus to develop
and propose fractional synergetic control (FSC) strategy for Four Degrees of Freedom (4 …

Immunological Memory is Associative* Page 1 Immunological Memory is Associative* Derek J.
Smithl, Stephanie Forrestl, and Alan S. Perelson2 1 Department of Computer Science University …

As a learning mechanism that emulates the structure of the cerebellum, cerebellar model
articulation controllers have been widely adopted in the control of robotic systems because …

This paper presents a solution to the problem of weight drift, and associated bursting
phenomenon, found in direct adaptive control. Bursting is especially likely to occur when …

In the last decades robots are expected to be of increasing intelligence to deal with a large
range of tasks. Especially, robots are supposed to be able to learn manipulation skills from …

Neural network (NN) controllers for the robust back stepping control of robotic systems in
both continuous and discrete-time are presented. Control action is employed to achieve …

This work presents a novel integral variable structure control (IVSC) that combines a
cerebellar model articulation controller (CMAC) neural network and a soft supervisor …