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.
General
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