reduced order
A Detailed Comparative Study between Reduced Order Cumming Observer & Reduced Order Das &Ghoshal Observer
... Abstract:- In this article a detailed comparative study between two well known observer design methodologies namely, reduced order Cumming observer & reduced order Das &Ghoshal ...
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Reduced-order modelling of vortex-induced vibration of catenary riser
... new reduced-order model capable of analyzing the vortex-induced vibration of catenary riser in the ocean current has been ...in order to capture the effect of varying initial curvature of the ...
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Reduced-Order Discrete-Vortex Method for Unsteady Airfoils with Wake Encounter.
... the reduced-order model is compared against that of the full model for six case ...the reduced-order model are seen to be in good agreement with those of the full model, but with much smaller ...
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A POD based reduced order FD extrapolating algorithm for traffic flow
... POD-based reduced-order FDEA with very few degrees of freedom and fully second-order accuracy for the traffic flow LWR model is ...POD-based reduced-order FDEA solutions and the ...
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General Reduced Order Model to Design and Operate Synthetic Jet Actuators
... extract a reduced order model based on computational fluid dynamics simulations and experimental data obtained using particle image velocimetry. The study provides some useful insights but is limited to a ...
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Reduced order models for thermally coupled low Mach flows
... full order model (FOM) is used to build the desired reduced order subspace; and an online part, where by projecting the original model onto the reduced subspace the ROM is built and ...
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Reduced-order model design for nonlinear smart system models
... times where we collect the snapshots relative to the behavior of the forcing function is shown in Figure 3. Now we will keep everything the same, but we add 2 updates during the process. Updating at the times t = 0.405 ...
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Reduced-order modelling of parametric systems via interpolation of heterogeneous surrogates
... pole-matching reduced-order modeling method that interpolates linear multiple-input multiple-output (MIMO) ROMs in the frequency ...in order to capture the evolution of the poles in the parametric ...
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Hybrid Reduced Order Modeling Algorithms for Reactor Physics Calculations.
... and reduced order modeling techniques have been successfully used in many scientific fields but rarely used in reactor physics problems mainly due to their ...For reduced order modeling ...
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Reduced order multi switching hybrid synchronization of chaotic systems
... the reduced-order multi-switching hybrid synchronization between the new hyperchaotic system treated as drive system and Qi chaotic system as response ...desired reduced-order synchronization ...
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Real-Time Implementation of Reduced Order Compensators on a Cantilever Beam
... reduced order model is accurate. Since the periodic control that we have presented has augmented matrices of different dimensions for the observer and controller we see that LQG controller reduction does ...
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A New Hybrid Order Approach to Morphological Color Image Processing Based on Reduced Order with Adaptive Absolute Reference
... the order between two points relatively to their distances to the reference color ...partial order on the unit circle [17], and another way of seeing the reduced order with the notion of color ...
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Reduced order based compensator control of thin film growth in a CVD reactor
... The mathematical models for OMCVD (under superatmospheric pressure) possess one of the most complex fluid dynamics systems imaginable. Some of the complex issues in computing chemically reacting flows include the ...
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Evaluation of System Parameters on Electrical Machine Bearings through Reduced order models
... This paper reviewed the cause for recently reported bearing failures and examined the important system parameters and their relationship to EDM and dv/dt bearing current.Models and formulas were presented for the major ...
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Reduced order modelling of parameter dependent linear and nonlinear dynamic PDE models
... The other two main approaches are based on: (i) supervised machine learning methods to learn the model input-output relationship (so called data-driven models); or (ii) Galerkin projection schemes, to yield ...
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Reduced Order Models for Thermal Radiative Transfer Problems based on Low-Order Transport Equations and the Proper Orthogonal Decomposition.
... RT reduced-order ...model order reduction. We develop two reduced-order models (ROMs) for TRT problems formulated by means of the multilevel nonlinear projective-iterative (MLNPI) ...
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Design of Reduced Order Digital Filters Using Pso and Routh Schemes
... is reduced. In this paper a simplified approach for the design of reduced order filter is proposed by using Routh array (Nagrath et al, 2006) and Particle Swarm Optimisation ...
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Reduced-order representation of turbulent jet flow and its noise source
... The current study is an endeavour towards a POD based reduced-order model of jet noise production. First ( § 1), the hybrid LES/CAA simulation is described. This simulation yields the hydrodynamics and ...
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PEBL-ROM: Projection-error based local reduced-order models
... Projection-based model-order reduction (MOR) is an indispensable tool for accelerat- ing large-scale computational procedures and enabling their solutions in real-time. This class of approaches proceeds by ...
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Reduced order model of flows by time-scaling interpolation of DNS data
... new reduced order model (ROM) is proposed here for reconstructing super-critical flow past circular cylinder and lid driven cavity using time-scaling of vorticity data ...
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