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Robust Control Design with MATLAB (R) (Paperback, 2nd ed. 2013)
Loot Price: R4,325
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Robust Control Design with MATLAB (R) (Paperback, 2nd ed. 2013)
Series: Advanced Textbooks in Control and Signal Processing
Expected to ship within 10 - 15 working days
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Robust Control Design with MATLAB (R) (second edition) helps the
student to learn how to use well-developed advanced robust control
design methods in practical cases. To this end, several realistic
control design examples from teaching-laboratory experiments, such
as a two-wheeled, self-balancing robot, to complex systems like a
flexible-link manipulator are given detailed presentation. All of
these exercises are conducted using MATLAB (R) Robust Control
Toolbox 3, Control System Toolbox and Simulink (R). 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 readers quickly to move on with their own challenges. The
hands-on tutorial style of this text rests on an abundance of
examples and features for the second edition: * rewritten and
simplified presentation of theoretical and methodological material
including original coverage of linear matrix inequalities; * new
Part II forming a tutorial on Robust Control Toolbox 3; * fresh
design problems including the control of a two-rotor dynamic
system; and * end-of-chapter exercises. Electronic supplements to
the written text that can be downloaded from
extras.springer.com/isbn include: * M-files developed with MATLAB
(R) help in understanding the essence of robust control system
design portrayed in text-based examples; * MDL-files for simulation
of open- and closed-loop systems in Simulink (R); and * a solutions
manual available free of charge to those adopting Robust Control
Design with MATLAB (R) as a textbook for courses. Robust Control
Design with MATLAB (R) is for graduate students and practising
engineers who want to learn how to deal with robust control design
problems without spending a lot of time in researching complex
theoretical developments.
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