Lectures In Feedback Design For Multivariable Systems (advanced Textbooks In Control And Signal Processing)
by Alberto Isidori /
2016 / English / EPUB
7.2 MB Download
This book focuses on methods that relate, in one form or another,
to the “small-gain theorem”. It is aimed at readers who are
interested in learning methods for the design of feedback laws
for linear and nonlinear multivariable systems in the presence of
model uncertainties. With worked examples throughout, it includes
both introductory material and more advanced topics.
This book focuses on methods that relate, in one form or another,
to the “small-gain theorem”. It is aimed at readers who are
interested in learning methods for the design of feedback laws
for linear and nonlinear multivariable systems in the presence of
model uncertainties. With worked examples throughout, it includes
both introductory material and more advanced topics.
Divided into two parts, the first covers relevant aspects of
linear-systems theory, the second, nonlinear theory. In order to
deepen readers’ understanding, simpler single-input–single-output
systems generally precede treatment of more complex
multi-input–multi-output (MIMO) systems and linear systems
precede nonlinear systems. This approach is used throughout,
including in the final chapters, which explain the latest
advanced ideas governing the stabilization, regulation, and
tracking of nonlinear MIMO systems. Two major design problems are
considered, both in the presence of model uncertainties:
asymptotic stabilization with a “guaranteed region of attraction”
of a given equilibrium point and asymptotic rejection of the
effect of exogenous (disturbance) inputs on selected regulated
outputs.
Divided into two parts, the first covers relevant aspects of
linear-systems theory, the second, nonlinear theory. In order to
deepen readers’ understanding, simpler single-input–single-output
systems generally precede treatment of more complex
multi-input–multi-output (MIMO) systems and linear systems
precede nonlinear systems. This approach is used throughout,
including in the final chapters, which explain the latest
advanced ideas governing the stabilization, regulation, and
tracking of nonlinear MIMO systems. Two major design problems are
considered, both in the presence of model uncertainties:
asymptotic stabilization with a “guaranteed region of attraction”
of a given equilibrium point and asymptotic rejection of the
effect of exogenous (disturbance) inputs on selected regulated
outputs.
Much of the introductory instructional material in this book has
been developed for teaching students, while the final coverage of
nonlinear MIMO systems offers readers a first coordinated
treatment of completely novel results. The worked examples
presented provide the instructor with ready-to-use material to
help students to understand the mathematical theory.
Much of the introductory instructional material in this book has
been developed for teaching students, while the final coverage of
nonlinear MIMO systems offers readers a first coordinated
treatment of completely novel results. The worked examples
presented provide the instructor with ready-to-use material to
help students to understand the mathematical theory.
Readers should be familiar with the fundamentals of
linear-systems and control theory. This book is a valuable
resource for students following postgraduate programs in systems
and control, as well as engineers working on the control of
robotic, mechatronic and power systems.
Readers should be familiar with the fundamentals of
linear-systems and control theory. This book is a valuable
resource for students following postgraduate programs in systems
and control, as well as engineers working on the control of
robotic, mechatronic and power systems.