Reduced-Order Modeling and Control for Subsonic Cavity Flows

2006 ◽  
Author(s):  
E. Caraballo ◽  
J. Little ◽  
X. Yuan ◽  
M. Debiasi ◽  
A. Serrani ◽  
...  
Keyword(s):  
Reduced Order Modeling ◽  
Cavity Flows ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

scholarly journals Reduced Order Modeling and Control of Thin Film Growth in an HPCVD Reactor

2002 ◽  
Vol 62 (4) ◽  
pp. 1251-1280 ◽  
Author(s):  
G. M. Kepler ◽  
H. T. Banks ◽  
H. T. Tran ◽  
S. C. Beeler
Keyword(s):  
Thin Film ◽  
Film Growth ◽  
Reduced Order Modeling ◽  
Thin Film Growth ◽  
Modeling And Control ◽  
Reduced Order ◽  
And Control

Reduced Order Modeling and Control of an Electrohydraulic Valve System

2004 ◽  
Vol 37 (22) ◽  
pp. 167-172 ◽  
Author(s):  
Jean-Pierre Hathout ◽  
Jasim Ahmed ◽  
Aleksandar Kojić
Keyword(s):  
Reduced Order Modeling ◽  
Modeling And Control ◽  
Reduced Order ◽  
Valve System ◽  
Electrohydraulic Valve ◽  
And Control

Decentralized Control of a Tower Crane

1999 ◽  
Author(s):  
Kiyoshi Takagi ◽  
Hidekazu Nishimura
Keyword(s):  
Decentralized Control ◽  
Three Dimensional ◽  
Reduced Order Model ◽  
Flexible Structure ◽  
Order Model ◽  
Modeling And Control ◽  
Reduced Order ◽  
Tower Crane ◽  
Three Dimensional Models ◽  
And Control

Abstract This paper deals with modeling and control of a crane mounted on a tower-like flexible structure. A fast transfer of the load causes the sway of the load rope and the vibration of the flexible structure. Our object is to control both the sway and the vibration by the inherent capability of the tower crane. This paper makes its three-dimensional models for simulation and reduced-order-model in order to design the decentralized control system. Then, we design the decentralized H∞ compensator and verify the efficiency by simulations and experiments.

scholarly journals Model Reduction Methods for Complex Network Systems

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
X. Cheng ◽  
J.M.A. Scherpen
Keyword(s):  
Autonomous Systems ◽  
High Dimensional ◽  
Annual Review ◽  
Publication Date ◽  
Network Systems ◽  
Modeling And Control ◽  
Reduced Order ◽  
Reduction Methods ◽  
The Stability ◽  
And Control

Network systems consist of subsystems and their interconnections and provide a powerful framework for the analysis, modeling, and control of complex systems. However, subsystems may have high-dimensional dynamics and a large number of complex interconnections, and it is therefore relevant to study reduction methods for network systems. Here, we provide an overview of reduction methods for both the topological (interconnection) structure of a network and the dynamics of the nodes while preserving structural properties of the network. We first review topological complexity reduction methods based on graph clustering and aggregation, producing a reduced-order network model. Next, we consider reduction of the nodal dynamics using extensions of classical methods while preserving the stability and synchronization properties. Finally, we present a structure-preserving generalized balancing method for simultaneously simplifying the topological structure and the order of the nodal dynamics. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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