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Random Processes in Nonlinear Control Systems by A A Pervozvanskii
A. A. Pervozvanskii
Limited preview - 1965
amplitude Appendix approximation arbitrary assume automatic systems characteristic characteristic function coefficients computation condition consider const constructed correlation function corresponds curve dependence described determine equation example expression external disturbance extremal systems extremum filter frequency given graph half-period harmonic signal Hence high-frequency input signal integral interference interval lagless transformation linear transformation Markov chains Markov processes mean component mean-square deviation method of statistical nonlinear element nonlinear transformation normal distribution obtain obvious odd function operation oscillations output signal parameters passband periodic polynomials possible probability density probability distribution problem quality index quantities random component random disturbance random function random process random signal random variables relay satisfied self-oscillations shown in Fig signal X(t slowly changing slowly varying solution spectral density stationary statistical linearization statistically independent switch-over synthesis test signal tion transfer constant transfer function tuning adjustments upper half-plane variance variation zero