We study classical control problems like pole assignment, stabilization, linear quadratic control and H1 control from a numerical analysis point of view. We present several examples that show the difficulties with classical approaches and suggest reformulations of the problems in a more general framework. We also discuss some new algorithmic approaches. AMS subject classification. 65F15, 93B40, 93B36, 93C60. Authors: Volker Mehrmann and Hongguo Xu Fakultat fur Mathematik, TU Chemnitz, D-09107 Chemnitz, FRG. Supported by Deutsche Forschungsgemeinschaft, within Sonderforschungsbereich SFB393, `Numerische Simulation auf massiv parallelen Rechnern'. 1 Introduction In the last 40 years linear systems theory (control theory) has evolved i...
The author discusses a number of numerical linear algebra techniques for large scale problems in sys...
Abstract. We briefly survey some of the classical methods for the numerical so-lution of eigenvalue ...
The fundamental problem in control engineering is to provide robust performance to uncertain plants....
We study classical control problems like pole assignment, stabiliza-tion, linear quadratic control a...
Many devices (we say dynamical systems or simply systems) behave like black boxes: they receive an i...
iii iv Modern control theory is today an interdisciplinary area of research. Just as much as this ca...
It is well-known that many factors contribute to the accurate and efficient numerical solution of ma...
The volume presents recent mathematical methods in the area of optimal control with a particular emp...
Control Theory for Linear Systems deals with the mathematical theory of feedback control of linear s...
This chapter provides a survey of various aspects of the numerical solution of selected problems in ...
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
This chapter provides a survey of various aspects of the numerical solution of selected problems in ...
Professionals involved in systems and control theory and control engineering formulate equations whi...
It is well-known that many factors contribute to the accurate and efficient numerical solution of ma...
In this paper, we present a systematic optimal and robust control theory (for SISO systems) in a lan...
The author discusses a number of numerical linear algebra techniques for large scale problems in sys...
Abstract. We briefly survey some of the classical methods for the numerical so-lution of eigenvalue ...
The fundamental problem in control engineering is to provide robust performance to uncertain plants....
We study classical control problems like pole assignment, stabiliza-tion, linear quadratic control a...
Many devices (we say dynamical systems or simply systems) behave like black boxes: they receive an i...
iii iv Modern control theory is today an interdisciplinary area of research. Just as much as this ca...
It is well-known that many factors contribute to the accurate and efficient numerical solution of ma...
The volume presents recent mathematical methods in the area of optimal control with a particular emp...
Control Theory for Linear Systems deals with the mathematical theory of feedback control of linear s...
This chapter provides a survey of various aspects of the numerical solution of selected problems in ...
Optimal control regards the optimization of dynamic systems. Thus, it bridges two large and active r...
This chapter provides a survey of various aspects of the numerical solution of selected problems in ...
Professionals involved in systems and control theory and control engineering formulate equations whi...
It is well-known that many factors contribute to the accurate and efficient numerical solution of ma...
In this paper, we present a systematic optimal and robust control theory (for SISO systems) in a lan...
The author discusses a number of numerical linear algebra techniques for large scale problems in sys...
Abstract. We briefly survey some of the classical methods for the numerical so-lution of eigenvalue ...
The fundamental problem in control engineering is to provide robust performance to uncertain plants....