Cross-Gramian-Based Combined State and Parameter Reduction for Large-Scale Control Systems. (2nd July 2014)

• Record Type: Journal Article
• Authors: Himpe, Christian; Ohlberger, Mario
• Other Names: Sreeram Victor Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-07-02
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/843869
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This work introduces the empirical cross-gramian for multiple-input-multiple-output systems. The cross-gramian is a tool for reducing the state space of control systems, by conjoining controllability and observability information into a single matrix and does not require balancing. Its empirical gramian variant extends the applicability of the cross-gramian to nonlinear systems. Furthermore, for parametrized systems, the empirical gramians can also be utilized for sensitivity analysis or parameter identification and thus for parameter reduction. This work also introduces the empirical joint gramian, which is derived from the empirical cross-gramian. The joint gramian allows not only a reduction of the parameter space but also the combined state and parameter space reduction, which is tested on a linear and a nonlinear control system. Controllability- and observability-based combined reduction methods are also presented, which are benchmarked against the joint gramian.