Shape memory materials are smart materials that stand out because of several remarkable
properties, including their shape memory effect. Shape memory alloys (SMAs) are largely …

This paper mainly focuses on various types of robots driven or actuated by shape memory
alloy (SMA) element in the last decade which has created the potential functionality of SMA …

A nonlinear model predictive control (NMPC) scheme is developed in this paper based on a
self-organizing recurrent radial basis function (SR-RBF) neural network, whose structure …

The paper addresses an adaptive robust position control for tracking control of a manipulator
under the presence of the uncertainties, such as variant payload, modeling error, friction …

The magnetic shape memory alloy (MSMA)-based actuator, as a new type of actuator, has a
great application prospect in the micro-precision positioning field. However, the input-to …

When standard voltage levels commonly adopted in industry are used to activate thermal
shape memory alloy (SMA) wire actuators, they often result in very high electrical currents …

This article focuses on the continuous-time optimal tracking control problem of a shape
memory alloy (SMA) actuated manipulator subject to prescribed error constraints and …

This brief focuses on modeling and neural-network-based control of a novel compliant
differential shape memory alloy (SMA) actuator characterized by reduced total stiffness and …

Since last 40 years, the theory and technology of model predictive control (MPC) have been
developed rapidly. However, nonlinear MPC still faces difficulties such as high online …

Due to the nonlinear saturated hysteretic behavior of SMA during the phase transformation,
it is not easy to achieve accurate position tracking control by establishing an effective …