Linear systems theory is the cornerstone of control theory and a well-established discipline that focuses on linear differential equations from the perspective of control and estimation. In this textbook, João Hespanha covers the key topics of the field in a unique lecture-style format, making the book easy to use for instructors and students. He looks at system representation, stability, controllability and state feedback, observability and state estimation, and realization theory. He provides the background for advanced modern control design techniques and feedback linearization, and examines advanced foundational topics such as multivariable poles and zeros, and LQG/LQR. The textbook presents only the most essential mathematical derivations, and places comments, discussion, and terminology in sidebars so that readers can follow the core material easily and without distraction. Annotated proofs with sidebars explain the techniques of proof construction, including contradiction, contraposition, cycles of implications to prove equivalence, and the difference between necessity and sufficiency. Annotated theoretical developments also use sidebars to discuss relevant commands available in MATLAB, allowing students to understand these important tools. The balanced chapters can each be covered in approximately two hours of lecture time, simplifying course planning and student review. Solutions to the theoretical and computational exercises are also available for instructors. Easy-to-use textbook in unique lecture-style format Sidebars explain topics in further detail Annotated proofs and discussions of MATLAB commands Balanced chapters can each be taught in two hours of course lecture Solutions to exercises available to instructors
This book is more a set of lecture notes than a book. It is extremely useful when one has to refresh concepts just before an exam. A major drawback is the lack of exercises and examples. The price of the book works in its favor!
This is an excellent book for learning linear systems associated with Modern Control Theory, i.e. state-space control systems. It does not have many examples, and has no review section, but it explains clearly and concisely the mathematical form for finding solutions and provides some good MATLAB examples for which to implement them. A bit too rigorous for an undergraduate course, but an excellent selection for a graduate student looking to learn about the topic.
This book is horrible. It is just a collection of lectures that appear to be copy and pasted from some other source. There are often the little boxes where equations should be. (Just like copying an equation from an old version of MS Word would give you) There are zero examples and the wording is too complex for its own good. I had to purchase this for a class to get the problem sets, but refer to "Modern Control Engineering" by Ogata for explanations.
