Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

This paper presents a robust adaptive neural control approach for a class of perturbed strict feedback nonlinear with both completely unknown virtual control coefficients and unknown nonlinearities.

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

This article investigates the fixed-time stabilization (XTS) of a class of stochastic memristive inertial neural networks (MINNs) with time-varying delays using interval matrix method (IMM) within the ...