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Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Precision instruments manufacture
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Mechatronic Systems - Analysis, Design and Implementation (Paperback, 2012 ed.)
Loot Price: R5,644
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Mechatronic Systems - Analysis, Design and Implementation (Paperback, 2012 ed.)
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This book deals with the analysis, the design and the
implementation of the mechatronic systems. Classical and modern
tools are developed for the analysis and the design for such
systems. Robust control, H-Infinity and guaranteed cost control
theory are also used for analysis and design of mechatronic
systems. Different controller such as state feedback, static output
feedback and dynamic output feedback controllers are used to
stabilize mechatronic systems. Heuristic algorithms are provided to
solve the design of the classical controller such as PID, phase
lead, phase lag and phase lead-lag controllers while linear matrix
inequalities (LMI) algorithms are provided for finding solutions to
the state feedback, static output feedback and dynamic output
feedback controllers. The theory presented in the different
chapters of the volume is applied to numerical examples to show the
usefulness of the theoretical results. Some case studies are also
provided to show how the developed concepts apply for real system.
Emphasis is also put on the implementation in real-time for some
real systems that we have developed in our mechatronic laboratory
and all the detail is provided to give an idea to the reader how to
implement its own mechatronic system. Mechatronics Systems:
Analysis, Design and Implementation is an excellent textbook for
undergraduate and graduate students in mechatronic system and
control theory and as a reference for academic researchers in
control or mathematics with interest in control theory. The reader
should have completed first-year graduate courses in control
theory, linear algebra, and linear systems. It will also be of
great value to engineers practising in fields where the systems can
be modeled by linear time invariant systems.
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