Anti‐disturbance adaptive sampled‐data observers for a class of nonlinear systems with unknown hysteresis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5449
Abstract: In this article, based on radial basis function neural network (RBFNN) and disturbance estimator (DE), an adaptive sampled‐data observer design scheme is proposed for a class of nonlinear systems with unknown Prandtl–Ishlinskii (PI) hysteresis and… read more here.
Keywords: sampled data; nonlinear systems; hysteresis; class nonlinear ... See more keywords
Robust and Adaptive Sampled-Data Control of Twisted and Coiled Artificial Muscles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3091414
Abstract: Twisted and Coiled Artificial Muscles (TCAMs) are lightweight actuators providing high power/weight ratio, and can substitute heavy electromagnetic motors and pneumatic artificial muscles in applications that require low weight and high contractile work. In this… read more here.
Keywords: twisted coiled; robust adaptive; control; adaptive sampled ... See more keywords