We consider the (sub)optimal H∞-control problem for discrete time descriptor systems. Necessary and sufficient optimality conditions are derived in terms of deflating subspaces of palindromic matrix pencils. This approach allows the use of structure preserving matrix techniques which lead to a more robust method compared with currently used algorithms. The approach is suitable for standard systems as well as for index one and higher index systems. We illustrate the results by a numerical example
summary:Contrary to state space systems, there are different notions of controllability for linear t...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
summary:Contrary to state space systems, there are different notions of controllability for linear t...
The $\mathcal{H}_\infty$ control problem is studied for linear constant coefficient descriptor syste...
AbstractThis paper proposes a new linear matrix inequality (LMI) method to design state-space H∞ con...
AbstractThis paper proposes a new linear matrix inequality (LMI) method to design state-space H∞ con...
The H_infinity control problem is studied for linear constant coefficient descriptor systems. Necess...
The H_infinity control problem is studied for linear constant coefficient descriptor systems. Necess...
By using a generalized Sylvester equation based parametrization, three minimum norm robust pole assi...
The minimum energy control problem for the descriptor discrete-time linear systems by the use of Wei...
The minimum energy control problem for the descriptor discrete-time linear systems by the use of Wei...
The descriptor systems have been attracting the attention of many researchers over recent decades du...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
This paper presents new synthesis procedures for discrete-time linear systems. It is based on a rece...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
summary:Contrary to state space systems, there are different notions of controllability for linear t...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
summary:Contrary to state space systems, there are different notions of controllability for linear t...
The $\mathcal{H}_\infty$ control problem is studied for linear constant coefficient descriptor syste...
AbstractThis paper proposes a new linear matrix inequality (LMI) method to design state-space H∞ con...
AbstractThis paper proposes a new linear matrix inequality (LMI) method to design state-space H∞ con...
The H_infinity control problem is studied for linear constant coefficient descriptor systems. Necess...
The H_infinity control problem is studied for linear constant coefficient descriptor systems. Necess...
By using a generalized Sylvester equation based parametrization, three minimum norm robust pole assi...
The minimum energy control problem for the descriptor discrete-time linear systems by the use of Wei...
The minimum energy control problem for the descriptor discrete-time linear systems by the use of Wei...
The descriptor systems have been attracting the attention of many researchers over recent decades du...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
This paper presents new synthesis procedures for discrete-time linear systems. It is based on a rece...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
summary:Contrary to state space systems, there are different notions of controllability for linear t...
Optimal Hankel norm model reduction for dynamical systems is of great significance in model-based si...
summary:Contrary to state space systems, there are different notions of controllability for linear t...