Industrial Process Identification and Control Design is devoted to
advanced identification and control methods for the operation of
continuous-time processes both with and without time delay, in
industrial and chemical engineering practice. The simple and practical
step- or relay-feedback test is employed when applying the proposed
identification techniques, which are classified in terms of common
industrial process type: open-loop stable; integrating; and unstable,
respectively. Correspondingly, control system design and tuning models
that follow are presented for single-input-single-output processes.
Furthermore, new two-degree-of-freedom control strategies and cascade
control system design methods are explored with reference to
independently-improving, set-point tracking and load disturbance
rejection. Decoupling, multi-loop, and decentralized control techniques
for the operation of multiple-input-multiple-output processes are also
detailed. Perfect tracking of a desire output trajectory is realized
using iterative learning control in uncertain industrial batch
processes. All the proposed methods are presented in an easy-to-follow
style, illustrated by examples and practical applications. This book
will be valuable for researchers in system identification and control
theory, and will also be of interest to graduate control students from
process, chemical, and electrical engineering backgrounds and to
practising control engineers in the process industry.