Adaptive critic neural network force controller for atomic force microscope-based nanomanipulation

Neural network sliding mode controller of atomic force microscope‐based manipulation with different cantilever probes

“…Moreover, Rifai proposed a model with four degrees of freedom and ultimately completed the work by designing a robust adaptive controller (Rifai, Rifai, & Toumi,, & K. Y., ). Similarly, Li and colleagues proposed a discrete state‐space model to design a discrete controller (Xu & Li, ), and Yang developed Sitti's model and applied an NN‐based controller (Yang & Jagannathan, ). Ladjal et al designed a control system with a graphical user interface (Ladjal & Ferreira, ).…”