This monograph is the first of its kind to present innovative research
results on truncated predictor feedback (TPF) designs for general linear
systems with input delay. Beginning with a brief review of time delay
systems, the first half of the book focuses on TPF with a constant
feedback parameter. Both state feedback and output feedback are
considered. It is established that TPF achieves stabilization in the
presence of an arbitrarily large bounded delay if the open loop system
is not exponentially unstable. Examples are presented to illustrate that
TPF may fail to stabilize an exponentially unstable system when the
delay is sufficiently large. Bounds on the delay are then established
under which stabilization can be achieved. The second half of the book
explores variations of the TPF laws designed with a non-constant
feedback parameter to accommodate unknown delays and improve closed-loop
performance. The authors employ a step-by-step approach to presenting
the ultimate result on a completely delay-independent feedback law.
Truncated Predictor Based Feedback Designs for Linear Systems with
Input Delay will appeal to control engineers, control theorists, and
graduate students studying control systems. This volume will also be a
valuable resource for engineers and applied mathematicians interested in
dynamic systems with time delays.