Upper Bounding Variations of Best Linear Approximations of Nonlinear Systems in Power Sweep Measurements
In many engineering applications, linear models are preferred, even if it is known that the system is nonlinear. A large class of nonlinear systems can be represented as Y = G BLA U + YS, with G BLA being the best linear approximation and YS being a nonlinear noise source that represents that part of the output that is not captured by the linear approximation. Because G BLA not only depends upon t...
IEEE Transactions on Instrumentation and Measurement
Linear approximation,Nonlinear systems,Power measurement,Power engineering and energy,Upper bound,US Government,Gaussian noise,Noise robustness,Power system modeling,Nonlinear distortion
Linear approximation,Nonlinear system,Upper and lower bounds,Linear model,Approximation theory,Control engineering,Nonlinear distortion,Gaussian noise,Mathematics,Bounded function