"error variables" is a correct and usable phrase in written English.
For example, you could use the phrase in a sentence such as: "The research team found that increasing the sample size reduced the error variables in their experiment."
Then, a simple linear observer is established to estimate the unknown synchronization error variables.
The nonnegative conditions for the estimation error variables are presented with the aid of the slack matrix variables.
To guarantee that the full state constraints are not violated, a novel adaptive fuzzy controller is developed by introducing Barrier Lyapunov Function with the error variables.
First, a new state space model based on the process state and output error variables is derived to provide more information of the system.
By transforming the errors into new virtual error variables, and based on DSC backstepping design technique and changing supply function, a new robust adaptive fuzzy output feedback control scheme is developed.
For the transformed systems, a novel recursive design procedure is constructed to remove the difficulties for avoiding non-affine terms and guarantee that the full state constraints are not violated by introducing Barrier Lyapunov Function (BLF) with the error variables.
An opposite extreme occurs if the causal variables collectively referred to as y5's error variable produce most of the variability in y5's values.
Main Outcome Measures: Electromechanically measured absolute constant error, variable error, and equilibrium score.
After that, by defining an error variable, the corresponding estimation error system is formulated.
Boundary layer function is introduced to construct an auxiliary error variable, which relaxes the identical initial condition assumption of iterative learning control.
The error variable only makes sense when trying to calibrate existing systems to each other.
