Results 221 to 230 of about 38,432 (265)
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Design of observers for descriptor systems

IEEE Transactions on Automatic Control, 1995
Summary: In this note straightforward methods to design full- and reduced-order observers for linear time-invariant descriptor systems are presented. The approach for the reduced-order observer design is based on the generalized Sylvester equation. Sufficient conditions for the existence of the observers are given. An illustrative example is included.
Mohamed Darouach, Mohamed Boutayeb
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Robust Kalman filter for descriptor systems

Proceedings of the 2004 American Control Conference, 2004
This paper is concerned with the problem of state estimation for descriptor systems subject to uncertainties. The Kalman type recursive algorithms for robust filtered, predicted and smoothed estimates are derived. A numerical example is included to demonstrate the performance of the proposed robust filter.
João Yoshiyuki Ishihara   +2 more
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Regularization of descriptor systems by output feedback

IEEE Transactions on Automatic Control, 1994
Conditions are given under which a descriptor, or generalized state-space system can be regularized by output feedback. It is shown that under these conditions, proportional and derivative output feedback controls can be constructed such that the closed-loop system is regular and has index at most one.
Angelika Bunse-Gerstner   +2 more
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Periodic descriptor systems: solvability and conditionability

IEEE Transactions on Automatic Control, 1999
Summary: The authors consider discrete-time linear periodic descriptor systems and study the concepts of solvability and conditionability, introduced by Luenberger. They prove that solvability is equivalent to conditionability, just as in the time-invariant case.
Jayaramanan Sreedhar, Paul Van Dooren
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Decoupling of descriptor systems

IEE Proceedings D Control Theory and Applications, 1991
The authors consider the following control process (so-called ``descriptor system''), \[ E\left({dx\over dt}-\sigma x\right)=x+Bu,\quad x\in{\mathbf R}^ n,\quad\sigma\in{\mathbf R},\quad y=Cx, \] where \(u\) is the control. The problem of decoupling the descriptor system is to find a state feedback control \(u=Fx+Gv\) such that the transfer matrix \(H(\
Minamide, N.   +2 more
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Results on contractive descriptor systems

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
We extend a couple of results on contractive systems to the class of time varying discrete descriptor systems (featuring both direct and inverse time evolutions), including bounded real lemma, and characterization of the solutions to the corresponding Riccati equation.
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Descriptor Positive Nonlinear Systems

2017
The positivity of discrete-time and continuous-time nonlinear systems is addressed. Necessary and sufficient conditions for the positivity of the descriptor nonlinear systems are established. A procedure for checking the positivity is proposed and demonstrated on numerical examples.
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Observers for descriptor systems

International Journal of Control, 1989
Abstract The design of observers is investigated for the estimation of the descriptor vector x(t) of descriptor systems of the form Ex(t) = Ax(t) + Bu(t), y(t) = Cx(t). Such systems are divided into two categories: non-causal (impulsive) systems and causal (impulse- free) systems.
M. M. Fahmy, J. O'Reilly
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Regularization of Descriptor Systems

2015
Algebraic conditions which ensure that a descriptor system can be regularized by derivative-plus-proportional output feedback are presented. The results are established using a canonical form which can be constructed by a numerically stable algorithm.
Nancy K. Nichols, Delin Chu
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Decompositions of Descriptor Systems

2004
In this chapter, we focus on the structural decomposition of a more general type of linear time-invariant systems, namely, linear descriptor systems. Descriptor systems, also commonly called singular or generalized systems in the literature, appear in many practical applications including engineering systems, economic systems, network analysis, and ...
Ben M. Chen, Zongli Lin, Yacov Shamash
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