Robustness is often of crucial importance in control system design. Real
engineering systems are vulnerable to external disturbance and measurement
noise and there are always discrepancies between mathematical models used
for design and the actual system in practice.
Robust Control Design with MATLAB. helps you learn how to use well-
developed advanced robust control design methods in practical cases.
To this end, several realistic control design examples ranging from
teaching-laboratory experiments, such as a mass.damper.spring assembly,
to complex systems like a flexible-link manipulator are given detailed
presentation. All the design exercises are conducted using MATLAB. Robust
Control Toolbox, Control System Toolbox and Simulink..
By sharing their experiences in industrial cases with minimum recourse
to complicated theories and formulae, the authors convey essential ideas
and useful insights into robust industrial control systems design using
major H-infinity optimization and related methods allowing you quickly
to move on with your own challenges.
Features:
* Hands-on, tutorial presentation giving you the opportunity to repeat
the designs presented and easily to modify them for your own programs.
* An abundance of examples illustrating the most important steps in
robust design.
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