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eBook Optimal Control: Linear Quadratic Methods (Prentice Hall Information and System Sciences Series) ePub

eBook Optimal Control: Linear Quadratic Methods (Prentice Hall Information and System Sciences Series) ePub

by John B. Moore,Brian D. O. Anderson

  • ISBN: 0136385605
  • Category: Engineering
  • Subcategory: Engineering
  • Author: John B. Moore,Brian D. O. Anderson
  • Language: English
  • Publisher: Prentice Hall (January 1, 1990)
  • Pages: 380
  • ePub book: 1620 kb
  • Fb2 book: 1974 kb
  • Other: mbr docx lrf mobi
  • Rating: 4.9
  • Votes: 592

Description

It explores linear optimal control theory from an engineering viewpoint. Series: Dover Books on Engineering.

It explores linear optimal control theory from an engineering viewpoint.

Optimal Control: Linear Quadratic Methods. LINEAR OPTIMAL CONTROL. The methods and techniques of what is now known as classical control will be familiar to most readers. by Brian D. O. Anderson and John B. Moore.

An optimal controller using LQR method to control the altitude level is then designed

An optimal controller using LQR method to control the altitude level is then designed. The small UAV is commanded to the desired altitude using the LQR controller through the control inputs elevator deflection and thrust rate. The LQR effectiveness matrices are chosen to find the gains necessary to build an effective altitude controller

Items related to Optimal Control: Linear Quadratic Methods (Prentice.

Items related to Optimal Control: Linear Quadratic Methods (Prentice. Anderson, Brian D. Moore, John B. Optimal Control: Linear Quadratic Methods (Prentice Hall Information and System Sciences Series). ISBN 13: 9780136385608.

Author: Anderson, Brian D. (Brian David Outram); Format: Book; xiv, 399 p. 24 c. & Moore, John B. (1971). Englewood Cliffs, . : Prentice-Hall. and Moore, John B. Linear optimal control Brian D. Anderson John B. Moore Prentice-Hall Englewood Cliffs, . 1971. Australian/Harvard Citation. 1971, Linear optimal control Brian D.

Optimal Control: Linear Quadratic Methods by . Moore - Prentice-Hall Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications. Brian D. Anderson, John B. The paper presents a scheme for obtaining a linear-feedback law for a linear system as a result of, minimising a e index; the resulting closed-loop system has the property tha. More). Part 1 Theory of the optimal regulator: the standard regulator problems I and II tracking systems. Part 2 Properties and application of the optimal regulator: properties of regulator systems with .

Optimal Control book. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to make practical use of the material. Start by marking Optimal Control: Linear Quadratic Methods as Want to Read: Want to Read savin. ant to Read. BDO Anderson, JB Moore. Prentice-Hall, In. 1990. Journal of Dynamic Systems, Measurement, and Control, 1971. Wireless sensor network localization techniques. G Mao, B Fidan, BDO Anderson. Computer Networks 51 (10), 2529-2553, 2007. Network analysis and synthesis: a modern systems theory approach. BDO Anderson, S Vongpanitlerd. Courier Corporation, 2013. Model reduction for control system design. G Obinata, BDO Anderson.

Moore, "Optimal Control-Linear Quadratic Methods", Prentice Hall Information and System Sciences Series, Pren-. tice Hall, Englewood Cliffs, NJ, 1989

Moore, "Optimal Control-Linear Quadratic Methods", Prentice Hall Information and System Sciences Series, Pren-. tice Hall, Englewood Cliffs, NJ, 1989.

Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications. Key topics include loop-recovery techniques, frequency shaping, and controller reduction. Numerous examples and complete solutions. 1990 edition.

Comments

Mora Mora
this is a classic Anderson is a major researcher contributor to control theory and an excellent writer
Haralem Haralem
It is a classic book on advanced LQR control and has been cited extensively. But it is not easy to read and not appropriate for self-learning. In addition, many symbols and notations are out of fashion. For example, the state-space representation of a linear system in this book is dx/dt=Fx+Gu instead of dx/dt=Ax+Bu. The matrix transpose is denoted as A' instead of A^T. The book is published in 1990. I hope it can be revised so as to attract more readers.

By the way, I recently found a very good math book on advanced LQR named "Linear systems and control" by MJ Corless. It provides many useful proofs on basic LQR related problems.
Gashakar Gashakar
I tried to use this book as a newcomer to the optimal control two years ago. I was reading it patiently and I even tried to add some infromation from the internet. But the book is very difficult to understand. Many steps in deriving new formulas are unclear and left unexplained.
I really do not recommend it as a student's book. Now I am more familiar with optimal control theory, but I still cannot find this book useful. It might be useful as refrence, but I doubt it.
Mitars Riders Mitars Riders
It is a great reference book; though I believe you could learn the subject matter from the book, I can't speak for it. I am currently a Phd Student in Astrodynamics focusing on formation flying and I have had a grad. level course on LQR/LQE, following that it is an excellent reference text if you need to look something up.