Skip to main content

Stability analysis of interconnected nonlinear mixed passive and negative-imaginary systems

Abstract

This paper presents an analytical framework to establish finite gain stability for nonlinear interconnected mixed passive and negative imaginary systems. The stability analysis is presented using the notation of dissipitivity. The proposed stability framework enables us to extend the number of existing results from the linear mixed systems to the wide range of nonlinear mixed systems. Accordingly, the stability analysis of this paper extends the work of Das et al. (in: 2013 Australian control conference. IEEE, pp 445–449, 2013) to nonlinear cases. A numerical example is presented in the paper to test the results of the proposed analytical framework.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Griggs WM, Anderson BDO, Lanzon A (2007) A “mixed” small gain and passivity theorem in the frequency domain. Syst Control Lett 56:596–602

    Article  MathSciNet  Google Scholar 

  2. Patra S, Lanzon A (2011) Stability analysis of interconnected systems with“mixed” negative-imaginary and small-gain properties. IEEE Trans Autom Control 56(6):1395–1400

    Article  MathSciNet  Google Scholar 

  3. Desoer CA, Vidyasagar M (1975) Feedback systems: input–output properties. Academic Press, New York

    MATH  Google Scholar 

  4. Petersen I, Lanzon A (2010) Feedback control of negative-imaginary systems. IEEE Control Syst Mag 30(5):54–72

    Article  MathSciNet  Google Scholar 

  5. Lanzon A, Petersen IR (2008) Stability robustness of a feedback interconnection of systems with negative imaginary frequency response. IEEE Trans Autom Control 53(4):1042–1046

    Article  MathSciNet  Google Scholar 

  6. Petersen IR (2011) Negative imaginary systems theory in the robust control of highly resonant flexible structures. In: Australian Control Conference. Melbourne, Australia, pp 1–6

  7. Das SK, Pota HR, Petersen IR (2014) Resonant controller design for a piezoelectric tube scanner: a mixed negative-imaginary and small-gain approach. IEEE Trans Control Syst Technol 22:1899–1906

    Article  Google Scholar 

  8. Das SK, Pota HR, Petersen IR (2015) Damping controller design for nanopositioners: a mixed passivity, negative-imaginary, and small-gain approach. IEEE/ASME Trans Mechatron 20(1):416–426

    Article  Google Scholar 

  9. Das SK, Pota HR, Petersen IR (2013) Stability analysis for interconnected systems with mixed negative-imaginary and passivity. In 2013 Australian control conference. IEEE, pp 445–449

  10. Gorbet RB, Morris KA, Wang DW (2001) Passivity-based stability and control of hysteresis in smart actuators. IEEE Trans Control Syst Technol 9(1):5–16

    Article  Google Scholar 

  11. Das SK, Badal FR, Rahman MA, Islam MA, Sarker SK, Paul N (2019) Improvement of alternative non-raster scanning methods for high speed atomic force microscopy: a review. IEEE Access 7:115603–115624

    Article  Google Scholar 

  12. Rahman MA, Al Mamun A, Yao K, Das SK (2015) Design and implementation of feedback resonance compensator in hard disk drive servo system: a mixed passivity, negative-imaginary and small-gain approach in discrete time. J Control Autom Electr Syst 26(4):390–402

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Subrata K. Sarker.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Sarker, S.K., Sheikh, M.R.I. & Das, S.K. Stability analysis of interconnected nonlinear mixed passive and negative-imaginary systems. Int. J. Dynam. Control 9, 935–944 (2021). https://doi.org/10.1007/s40435-020-00749-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40435-020-00749-1

Keywords

  • Hard disk drive
  • Nanopositioning
  • Passive and NI system
  • Stability mapping
  • Smart actuators