English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems

Benner, P., & Goyal, P. K. (in preparation). Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-2E2E-B Version Permalink: http://hdl.handle.net/21.11116/0000-0001-E739-B
Genre: Paper

Files

show Files
hide Files
:
1705.00160.pdf (Preprint), 862KB
Name:
1705.00160.pdf
Description:
File downloaded from arXiv at 2018-08-09 10:13
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Benner, Peter1, Author              
Goyal, Pawan Kumar1, 2, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              

Content

show
hide
Free keywords: Mathematics, Optimization and Control, math.OC,Mathematics, Dynamical Systems, math.DS,
 Abstract: We discuss balanced truncation model order reduction for large-scale quadratic-bilinear (QB) systems. Balanced truncation for linear systems mainly involves the computation of the Gramians of the system, namely reachability and observability Gramians. These Gramians are extended to a general nonlinear setting in Scherpen (1993), where it is shown that Gramians for nonlinear systems are the solutions of state-dependent nonlinear Hamilton-Jacobi equations. Therefore, they are not only difficult to compute for large-scale systems but also hard to utilize in the model reduction framework. In this paper, we propose algebraic Gramians for QB systems based on the underlying Volterra series representation of QB systems and their Hilbert adjoint systems. We then show their relations with a certain type of generalized quadratic Lyapunov equation. Furthermore, we present how these algebraic Gramians and energy functionals relate to each other. Moreover, we characterize the reachability and observability of QB systems based on the proposed algebraic Gramians. This allows us to find those states that are hard to control and hard to observe via an appropriate transformation based on the Gramians. Truncating such states yields reduced-order systems. Additionally, we present a truncated version of the Gramians for QB systems and discuss their advantages in the model reduction framework. We also investigate the Lyapunov stability of the reduced-order systems. We finally illustrate the efficiency of the proposed balancing-type model reduction for QB systems by means of various semi-discretized nonlinear partial differential equations and show its competitiveness with the existing moment-matching methods for QB systems.

Details

show
hide
Language(s):
 Dates: 2017-04-29
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1705.00160
URI: http://arxiv.org/abs/1705.00160
 Degree: -

Event

show

Legal Case

show

Project information

show

Source

show