The textbook is divided into 7 chapters, 5 appendices, a table of contents, a table of examples, extensive index and extensive list of references.
Linear Systems Control
Each chapter is provided with a summary of the main points covered and a set of problems relevant to the material in that chapter. Moreover each of the more advanced chapters 3 - 7 are provided with notes describing the history of the mathematical and technical problems which lead to the control theory presented in that chapter. Continuous time methods are the main focus in the book because these provide the most direct connection to physics. This physical foundation allows a logical presentation and gives a good intuitive feel for control system construction.
Nevertheless strong attention is also given to discrete time systems. Very few proofs are included in the book but most of the important results are derived. This method of presentation makes the text very readable and gives a good foundation for reading more rigorous texts. A complete set of solutions is available for all of the problems in the text.
There is material of this kind for 12 such exercises and each exercise requires about 3 hours for its solution. Full written solutions of all these exercises are available.
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The great advantage of this book is … almost every presented problems are acompanied by practical application based solutions. The book is written … clearly, and is easy to read. This can be used even by undergraduate students, but also graduate ones, engineers and every persons who study Topics covered in the book include modeling of systems in state-space form, linearization, discretization, description of noise and stochastic disturbances, LQR and LQG control problems, and Kalman filters.
Very readable graduate text giving a good foundation for reading more rigorous texts Includes multiple examples, problems and solutions Unique book combining stochastic and deterministic methods see more benefits. Buy eBook. Buy Hardcover. Buy Softcover. FAQ Policy. About this book Modern control theory and in particular state space or state variable methods can be adapted to the description of many different systems because it depends strongly on physical modeling and physical intuition.
Show all. Table of contents 7 chapters Table of contents 7 chapters Introduction Hendricks, Elbert et al. Pages Optimal Control Hendricks, Elbert et al.
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