Robust Industrial Control Systems (PDF)

Robust Industrial Control Systems: Optimal Design Approach for
Polynomial Systems presents a comprehensive introduction to the
use of frequency domain and polynomial system design techniques for
a range of industrial control and signal processing applications.
The solution of stochastic and robust optimal control problems is
considered, building up from single-input problems and gradually
developing the results for multivariable design of the later
chapters. In addition to cataloguing many of the results in
polynomial systems needed to calculate industrial controllers and
filters, basic design procedures are also introduced which enable
cost functions and system descriptions to be specified in order to
satisfy industrial requirements.

Providing a range of solutions to control and signal processing
problems, this book:

* Presents a comprehensive introduction to the polynomial systems
approach for the solution of H_2 and H_infinity optimal control
problems.

* Develops robust control design procedures using frequency domain
methods.

* Demonstrates design examples for gas turbines, marine systems,
metal processing, flight control, wind turbines, process control
and manufacturing systems.

* Includes the analysis of multi-degrees of freedom controllers and
the computation of restricted structure controllers that are simple
to implement.

* Considers time-varying control and signal processing
problems.

* Addresses the control of non-linear processes using both multiple
model concepts and new optimal control solutions.

Robust Industrial Control Systems: Optimal Design Approach for
Polynomial Systems is essential reading for professional engineers
requiring an introduction to optimal control theory and insights
into its use in the design of real industrial processes. Students
and researchers in the field will also find it an excellent
reference tool.