scholarly journals Reduced Order vs. Discretized Lumped System Models with Absolute and Relative States for Continuum Manipulators

2019 ◽  
Author(s):  
Seyedmohammadhadi Sadati ◽  
Ali Shiva ◽  
Seyedeh Elnaz Naghibi ◽  
Caleb Rucker ◽  
Ludovic Renson ◽  
...  
Keyword(s):  
Reduced Order ◽  
System Models ◽  
Continuum Manipulators ◽  
Relative States

scholarly journals SVD-Krylov based Sparsity-preserving Techniques for Riccati-based Feedback Stabilization of Unstable Power System Models

2021 ◽  
Author(s):  
Mahtab Uddin ◽  
M. Monir Uddin ◽  
M. A. Hakim Khan ◽  
M. Tanzim Hossain
Keyword(s):  
Power System ◽  
Riccati Equations ◽  
Descriptor Systems ◽  
Low Rank ◽  
Reduced Order Models ◽  
Reduced Order ◽  
System Models ◽  
Reduced Order Modelling ◽  
Feedback Matrix ◽  
Finite Solution

We propose an efficient sparsity-preserving reduced-order modelling approach for index-1 descriptor systems extracted from large-scale power system models through two-sided projection techniques. The projectors are configured by utilizing Gramian based singular value decomposition (SVD) and Krylov subspace-based reduced-order modelling. The left projector is attained from the observability Gramian of the system by the low-rank alternating direction implicit (LR-ADI) technique and the right projector is attained by the iterative rational Krylov algorithm (IRKA). The classical LR-ADI technique is not suitable for solving Riccati equations and it demands high computation time for convergence. Besides, in most of the cases, reduced-order models achieved by the basic IRKA are not stable and the Riccati equations connected to them have no finite solution. Moreover, the conventional LR-ADI and IRKA approach not preserves the sparse form of the index-1 descriptor systems, which is an essential requirement for feasible simulations. To overcome those drawbacks, the fitting of LR-ADI and IRKA based projectors from left and right sides, respectively, desired reduced-order systems attained. So that, finite solution of low-rank Riccati equations, and corresponding feedback matrix can be executed. Using the mechanism of inverse projection, the Riccati-based optimal feedback matrix can be computed to stabilize the unstable power system models. The proposed approach will maintain minimized ℌ2 -norm of the error system for reduced-order models of the target models.

Use of a Reduced Order Model (ROM) to Simulate SOFC Performance in System Models

2017 ◽  
Vol 78 (1) ◽  
pp. 2595-2605 ◽  
Author(s):  
Brian J Koeppel ◽  
Canhai Lai ◽  
Arun K.S. Iyengar ◽  
Zhijie Xu ◽  
Chao Wang ◽  
...  
Keyword(s):  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
System Models

Reduced-order shaft system models of turbogenerators

1993 ◽  
Vol 8 (3) ◽  
pp. 1366-1374 ◽  
Author(s):  
B. Yang ◽  
H. Chen
Keyword(s):  
Reduced Order ◽  
System Models ◽  
Shaft System
Sign in / Sign up

Export Citation Format

Share Document