This book studies control systems with limited
feedback information. The focus is on two types of
limitations on the feedback information, dropout and
quantization. By dropout, we mean that the desired
feedback measurement is missed. By quantization, we
mean the feedback measurement is only described by a
finite number of bits, which introduces ``measurement
error. We consider two dropout models, independent
and identically distributed (i.i.d.) processes and
Markov chains. Under i.i.d. dropouts, we provide a
closed-form expression for the outputs power
spectral density, which can be used to...