Results 241 to 250 of about 1,826,970 (293)

[Review of the book Controlled and Conditioned Invariants in Linear System Theory, G. Basile & G. Marro, 1992]

IEEE Transactions on Automatic Control, 1994
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Controlled and conditioned invariant subspaces in linear system theory

Journal of Optimization Theory and Applications, 1969
The concept of invariance of a subspace under a linear transformation is strongly connected with controllability and observability of linear dynamical systems. In this paper, we definecontrolled andconditioned invariant subspaces as a generalization of the simple invariants, for the purpose of investigating some further structural properties of linear ...
Basile, G., Marro, G.
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Application of Grey System Theory in Peace Avenue Overpass Bridge Construction Linear Control

2009 International Conference on Management and Service Science, 2009
Peace Avenue overpass bridge belong to large-span continuous rigid frame, the gray system theory prediction method has been applied to Peace Avenue overpass bridge construction linear control. The construction of pre-camber gray prediction model is established, and is verified at peace Avenue overpass bridge linear control.
Jun Hu, Zhi-feng Liu, Wen-sheng Xu
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Premium control in an insurance system, an approach using linear control theory

Scandinavian Actuarial Journal, 1983
Abstract The problem of finding good premium control methods in an insurance business is considered. A mathematical model of the cash flows and the reserves is discussed, and a linear control law with feed back for the premium is proposed. The behaviour of the system is analysed using the methods of control theory.
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On systems and control concepts in linear interest rate theory

2003 European Control Conference (ECC), 2003
This contribution discusses the concept of stochastic controllability within the framework of linear interest rate models of Heath-Jarrow-Morton-Musiela (HJMM) type that may be represented by an infinite dimensional stochastic differential equation. Despite the fact that not all such models are controllable, we nonetheless investigate the possibility ...
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Dynamic input-output linearization for nonlinear systems; theory and applications in process control

1997 European Control Conference (ECC), 1997
In this paper the use of the dynamic extension algorithm and the structure algorithm leads to sufficient conditions for the resulting dynamic state feedback to achieve I/O linearization for the given nonlinear system. The result covers cases further than the I/O decoupable systems.
Sanchez, F.H., Nijmeijer, Henk
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Feedback Linearizing Control of Surge in an Axial Compression System: Theory and Experimental Validation

Volume 1: Turbomachinery, 1995
This paper presents experimental demonstration of surge stabilization in an axial compressor rig with a feedback linearizing controller. The controller design approach is model-based, and hence a nonlinear surge model for the facility is first validated.
O. O. Badmus, S. Chowdhury, C. N. Nett
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Invertibility of an Operator Appearing in the Control Theory for Linear Systems

Mathematical Notes, 2001
We give sufficient conditions for the existence of a bounded inverse operator for a linear operator appearing in the theory of optimal control of linear systems in Hilbert space and having a matrix representation of the form \(\left( \begin{gathered} F_1 {\text{ 0 }}F_2 \hfill \\ F_3 {\text{ }}--F_1^* {\text{ }}F_5 \hfill \\ - F_5^* {\text{ }}F_2 ...
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Studies in Optimal Control, Estimation and Linear Systems Theory.

1978
Abstract : Contents: Design of sub-optimal controllers for systems excited by unmeasured external disturbances; Model reference adaptive control of nonlinear sampled - data systems; Design of sub-optimal controllers for systems excited by unmeasured external disturbances; Estimation of unmeasured states in systems subject to non-zero mean external ...
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The role of 2D linear systems theory in the design and experimental verification of iterative learning control algorithms

21st Mediterranean Conference on Control and Automation, 2013
Iterative learning control algorithms are applicable to the many industrial processes that complete the same finite duration task over and over again. One example is a gantry robot executing a pick and place operation in synchronization with a moving conveyor.
Krzysztof Galkowski, Eric Rogers
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