The main objective of this monograph is to develop efficient techniques
for tackling the control problems of partially-known dynamical systems.
This broad class of systems has a fundamental feature: Knowledge of the
dynamic characteristics of the control plant is not complete. In one
category, the missing knowledge is due to the unmodeled high-frequency
parasitics (adaptive systems). In another category, some of the model
parameters are unknown-but-bounded (uncertain systems). The book
concentrates on reduced-order adaptive control schemes and deterministic
stabilizing control methodologies. Special emphasis has been placed on
presenting new results, establishing efficient control laws and treating
both small-scale and large-scale problems. Effects of external
disturbances, state parameter errors and interconnection patterns have
been investigated and dealt with in contructing various controller
structures.