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Nonlinear Control and Filtering Using Differential Flatness Approaches - Applications to Electromechanical Systems (Hardcover, 2015 ed.)
Loot Price: R5,762
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Nonlinear Control and Filtering Using Differential Flatness Approaches - Applications to Electromechanical Systems (Hardcover, 2015 ed.)
Series: Studies in Systems, Decision and Control, 25
Expected to ship within 10 - 15 working days
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This monograph presents recent advances in differential flatness
theory and analyzes its use for nonlinear control and estimation.
It shows how differential flatness theory can provide solutions to
complicated control problems, such as those appearing in highly
nonlinear multivariable systems and distributed-parameter systems.
Furthermore, it shows that differential flatness theory makes it
possible to perform filtering and state estimation for a wide class
of nonlinear dynamical systems and provides several descriptive
test cases. The book focuses on the design of nonlinear adaptive
controllers and nonlinear filters, using exact linearization based
on differential flatness theory. The adaptive controllers obtained
can be applied to a wide class of nonlinear systems with unknown
dynamics, and assure reliable functioning of the control loop under
uncertainty and varying operating conditions. The filters obtained
outperform other nonlinear filters in terms of accuracy of
estimation and computation speed. The book presents a series of
application examples to confirm the efficiency of the proposed
nonlinear filtering and adaptive control schemes for various
electromechanical systems. These include: * industrial robots; *
mobile robots and autonomous vehicles; * electric power generation;
* electric motors and actuators; * power electronics;* internal
combustion engines; * distributed-parameter systems; and *
communication systems. Differential Flatness Approaches to
Nonlinear Control and Filtering will be a useful reference for
academic researchers studying advanced problems in nonlinear
control and nonlinear dynamics, and for engineers working on
control applications in electromechanical systems.
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