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The Autonomous Linear Quadratic Control Problem

The Autonomous Linear Quadratic Control Problem
  • Author: Volker L. Mehrmann
  • Publisher: Lecture Notes in Control and Information Sciences
  • ISBN: UCAL:B4405860
  • Category: Language Arts & Disciplines
  • Page: 192
  • View: 487

A survey is given on the state of the art in theory and numerical solution of general autonomous linear quadratic optimal control problems (continuous and discrete) with differential algebraic equation constraints. It incorporates the newest developments on differential algebraic equations, Riccati equations and invariant subspace problems. In particular, it gives a decision chart of numerical methods, that can be used to determine the right numerical method according to special properties of the problem. The book closes a gap between mathematical theory, numerical solution and engineering application. The mathematical tools are kept as basic as possible in order to address the different groups of readers, mathematicians and engineers.

More Books:

The Autonomous Linear Quadratic Control Problem
Language: en
Pages: 192

The Autonomous Linear Quadratic Control Problem

Authors: Volker L. Mehrmann
Categories: Language Arts & Disciplines
Type: BOOK - Published: 1991 - Publisher: Lecture Notes in Control and Information Sciences

A survey is given on the state of the art in theory and numerical solution of general autonomous linear quadratic optimal control problems (continuous and discrete) with differential algebraic equation constraints. It incorporates the newest developments on differential algebraic equations, Riccati equations and invariant subspace problems. In particular, it gives
Algorithms for Linear-Quadratic Optimization
Language: en
Pages: 382

Algorithms for Linear-Quadratic Optimization

Authors: Vasile Sima
Categories: Mathematics
Type: BOOK - Published: 2021-12-17 - Publisher: CRC Press

This textbook offers theoretical, algorithmic and computational guidelines for solving the most frequently encountered linear-quadratic optimization problems. It provides an overview of recent advances in control and systems theory, numerical line algebra, numerical optimization, scientific computations and software engineering.
On Linear-Quadratic Optimal Control and Robustness of Differential-Algebraic Systems
Language: en
Pages: 310

On Linear-Quadratic Optimal Control and Robustness of Differential-Algebraic Systems

Authors: Matthias Voigt
Categories: Differential-algebraic equations
Type: BOOK - Published: 2015-09-30 - Publisher: Logos Verlag Berlin GmbH

This thesis considers the linear-quadratic optimal control problem for differential-algebraic systems. In this first part, a complete theoretical analysis of this problem is presented. The basis is a new differential-algebraic version of the Kalman-Yakubovich-Popov (KYP) lemma. One focus is the analysis of the solution structure of the associated descriptor KYP
Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory
Language: en
Pages: 608

Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory

Authors: Peter Benner, Matthias Bollhöfer, Daniel Kressner, Christian Mehl, Tatjana Stykel
Categories: Mathematics
Type: BOOK - Published: 2015-05-09 - Publisher: Springer

This edited volume highlights the scientific contributions of Volker Mehrmann, a leading expert in the area of numerical (linear) algebra, matrix theory, differential-algebraic equations and control theory. These mathematical research areas are strongly related and often occur in the same real-world applications. The main areas where such applications emerge are
Numerical Methods for Linear Control Systems
Language: en
Pages: 640

Numerical Methods for Linear Control Systems

Authors: Biswa Datta
Categories: Mathematics
Type: BOOK - Published: 2004-02-24 - Publisher: Elsevier

Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern numerical linear techniques for mathematical problems arising in the design and analysis of linear control systems both for the first- and

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