Algorithms of the Synthesis of Optimal Regulations
Description:
This book focuses on methods to solutions regarding matrix equations: algebraic, periodic, and unilateral Riccati equations, Lyapunov equations, Silvester equations, generalized Silvester equations, and factorization of matrix polynomials in continuous and discrete cases. These equations are used to solve problems of the synthesis of optimal controllers. Also presented is the problem of the synthesis of optimal controllers in the frequency domain when measuring part of the phase coordinates. A general parameterization algorithm is proposed for its solution. The well-known parameterizations (Youla-Jabr-Bongiorno (1976) and Desoer-Liu-Murrau-Saeks (1980)) are demonstrated by us to form a special case of the proposed general parameterization algorithm. The obtained results can be applied to solve various problems in oil production by the gas-lift method and rod pump systems, unmanned aerial vehicles, and walking machines. Each section is illustrated by examples. The MATLAB environment is used for numerical solution of the problems. The book is intended for students and experts in applied mathematics and control systems theory.
Best prices to buy, sell, or rent ISBN 9781977249852
Frequently Asked Questions about Algorithms of the Synthesis of Optimal Regulations
The price for the book starts from $7.00 on Amazon and is available from 2 sellers at the moment.
If you’re interested in selling back the Algorithms of the Synthesis of Optimal Regulations book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Algorithms of the Synthesis of Optimal Regulations book, the best buyback offer comes from and is $ for the book in good condition.
The Algorithms of the Synthesis of Optimal Regulations book is in very low demand now as the rank for the book is 10,026,209 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.