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Unknown input observer design for a class of fractional order nonlinear systems

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  • Sharma, Vivek
  • Shukla, Manoj
  • Sharma, B.B.

Abstract

Analysis and control of fractional order (FO) nonlinear systems is a challenging problem. In earlier works, as highlighted in literature, stability conditions for the FO LTI systems are analytically derived and these results are extended to formulate LMI conditions to express the stability of the FO LTI systems. In present work, design of full order and reduced order observers for imperfect fractional order nonlinear systems is presented. Imperfections in real system are silent dynamics and can be modeled as unknown input. To design observer for such system, unknown input observer (UIO) design concepts are used and LMI conditions for the existence of observer are analytically derived. For this purpose, Differential Mean Value (DMV) theorem is used and nonlinear term in the error dynamics is alternatively expressed in appropriate equivalent form. As a result, error dynamics evolves as Linear Parameter Varying (LPV) system and then stability results for FO LTI systems are extended to stabilize FO nonlinear error dynamical systems. LMI conditions for the existence of unknown input observer for the two cases 0 < α < 1 and 1 < α < 2 are analytically derived. Feasible solution of LMI gives the observer design matrices directly. Finally, results of simulation are presented to authenticate the proposed approach.

Suggested Citation

  • Sharma, Vivek & Shukla, Manoj & Sharma, B.B., 2018. "Unknown input observer design for a class of fractional order nonlinear systems," Chaos, Solitons & Fractals, Elsevier, vol. 115(C), pages 96-107.
    • Handle: RePEc:eee:chsofr:v:115:y:2018:i:c:p:96-107
    DOI: 10.1016/j.chaos.2018.08.017
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    References listed on IDEAS

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    1. Lu, Jun Guo & Chen, Guanrong, 2006. "A note on the fractional-order Chen system," Chaos, Solitons & Fractals, Elsevier, vol. 27(3), pages 685-688.
    2. Laskin, Nick, 2000. "Fractional market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 482-492.
    3. Sharma, Vivek & Sharma, B.B. & Nath, R., 2017. "Nonlinear unknown input sliding mode observer based chaotic system synchronization and message recovery scheme with uncertainty," Chaos, Solitons & Fractals, Elsevier, vol. 96(C), pages 51-58.
    4. Li, Chunguang & Chen, Guanrong, 2004. "Chaos and hyperchaos in the fractional-order Rössler equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 341(C), pages 55-61.
    5. Lu, Jun Guo, 2006. "Nonlinear observer design to synchronize fractional-order chaotic systems via a scalar transmitted signal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 107-118.
    6. Shukla, Manoj Kumar & Sharma, B.B., 2017. "Stabilization of a class of fractional order chaotic systems via backstepping approach," Chaos, Solitons & Fractals, Elsevier, vol. 98(C), pages 56-62.
    7. Lu, Jun Guo, 2006. "Synchronization of a class of fractional-order chaotic systems via a scalar transmitted signal," Chaos, Solitons & Fractals, Elsevier, vol. 27(2), pages 519-525.
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    Cited by:

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