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Model Free Adaptive Control - Theory and Applications (Paperback)
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Model Free Adaptive Control - Theory and Applications (Paperback)
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Model Free Adaptive Control: Theory and Applications summarizes
theory and applications of model-free adaptive control (MFAC). MFAC
is a novel adaptive control method for the unknown discrete-time
nonlinear systems with time-varying parameters and time-varying
structure, and the design and analysis of MFAC merely depend on the
measured input and output data of the controlled plant, which makes
it more applicable for many practical plants. This book covers new
concepts, including pseudo partial derivative, pseudo gradient,
pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.;
dynamic linearization approaches for nonlinear systems, such as
compact-form dynamic linearization, partial-form dynamic
linearization, and full-form dynamic linearization; a series of
control system design methods, including MFAC prototype, model-free
adaptive predictive control, model-free adaptive iterative learning
control, and the corresponding stability analysis and typical
applications in practice. In addition, some other important issues
related to MFAC are also discussed. They are the MFAC for complex
connected systems, the modularized controller designs between MFAC
and other control methods, the robustness of MFAC, and the
symmetric similarity for adaptive control system design. The book
is written for researchers who are interested in control theory and
control engineering, senior undergraduates and graduated students
in engineering and applied sciences, as well as professional
engineers in process control.
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