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This work is a geometric study of reduced order observer design for discrete-time nonlinear systems.
This work is a geometric study of reduced order observer design for nonlinear systems.
In conventional sliding-mode control systems, the sliding-mode motion is of reduced order.
The effect of jump modes on the existence of reduced order normal Luenberger observers for discrete singular systems is investigated.
Numerical results show the new nonlinear Petrov Galerkin method is a promising approach for stablisation of reduced order modelling.
In this paper, we investigate theoretically and computationally the conservation properties of reduced order models (ROMs) for fluid flows.
Similar(30)
Based on the parametric solutions of a Sylvester matrix equation, a parametric expression for all the gain matrices of reduced-order state observers is presented, and a parametric design method of reduced-order state observers is proposed.
The construction of reduced-order systems is presented.
Automated modeling tools simplify the task of reduced-order modeling.
These simulations result from numerical resolutions of reduced-order models.
This paper solves the problem of reduced-order H∞ filtering for singular systems.
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