73.1 Signal Detection General Considerations. Detection of Known Signals.Detection of Parametrized Signals. Detection of Random Signals Deciding A mong Multiple Signals. Detection of Signals in More General noise rocessesRobust and Nonparametric Detection Distributed and Sequential Detection. Detection with Continuous-Time Measurements 73.2 Noise Statistics of Noise. Noise Pow owerect of Linear Transformations on Autocorrelation and Power Spectral Density White, Gaussian
In this chapter, st ability and performance for multivariable systems with uncertainty will be considered. Consider a general multivariable system as depicted in Figure 5.1. All signals will in general be vectors, and G() and K(s) will be transfer matrices. d(s) is an output distur- bance signal and n() represents
In order to be able to design a robust compensator to control a given pro cess, it is necessary not only to specify a nominal mo del of the process, but also the model uncert ainty to which the control sy stem has to be robust. The compensator is required to make the output follow variations in the reference signal and to attenuate disturbances. Hence to design the com- pensator
Handout 18: Dual-input describing functions Eric Feron April 5,2004 Dual-input describing functions are for mixed signals(sinusoid small constant signal) Approximating non-constant signals with constant ones
