Reduced order modeling of nonlinear time periodic systems subjected to external periodic excitations

Sangram Redkar, S. C. Sinha

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this work, new methodologies for order reduction of nonlinear systems with periodic coefficients subjected to external periodic excitations are presented. The periodicity of the linear terms is assumed to be non-commensurate with the periodicity of forcing vector. The dynamical equations of motion are transformed using the Lyapunov-Floquet (L-F) transformation such that the linear parts of the resulting equations become time-invariant while the forcing and nonlinearity takes the form of quasiperiodic functions. The techniques proposed here construct a reduced order equivalent system by expressing the non-dominant states as time-varying functions of the dominant (master) states. This reduced order model preserves stability properties and is easier to analyze, simulate and control since it consists of relatively small number of states in comparison with the large scale system.Specifically, two methods are discussed to obtain the reduced order model. First approach is a straightforward application of linear method similar to the 'Guyan reduction'. The second novel technique proposed here extends the concept of '. invariant manifolds' for the forced problem to construct the fundamental solution. Order reduction approach based on this extended invariant manifold technique yields unique '. reducibility conditions'. If these '. reducibility conditions' are satisfied only then an accurate order reduction via extended invariant manifold approach is possible. This approach not only yields accurate reduced order models using the fundamental solution but also explains the consequences of various '. primary' and '. secondary resonances' present in the system. One can also recover '. resonance conditions' associated with the fundamental solution which could be obtained via perturbation techniques by assuming weak parametric excitation. This technique is capable of handling systems with strong parametric excitations subjected to periodic and quasi-periodic forcing. It is anticipated that these order reduction techniques will provide a useful tool in the analysis and control system design of large-scale parametrically excited nonlinear systems subjected to external periodic excitations.

Original languageEnglish (US)
Pages (from-to)4120-4133
Number of pages14
JournalCommunications in Nonlinear Science and Numerical Simulation
Issue number10
StatePublished - Oct 2011


  • L-F transformation
  • Nonlinear time periodic forced systems
  • Order reduction

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Applied Mathematics


Dive into the research topics of 'Reduced order modeling of nonlinear time periodic systems subjected to external periodic excitations'. Together they form a unique fingerprint.

Cite this