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PID Control of Nonlinear Multi-agent System Based on Generalized Frequency Response Function

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

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Abstract

In practical applications, the multi-agent system often has nonlinear characteristics, therefore, studying the cooperative control of the nonlinear multi-agent system plays a vital role. The stability of each nonlinear agent is the fundamental requirement for the analysis of multi-agent system. In this paper, a new stability criterion of the nonlinear systems which are able to be represented by polynomial differential equations is derived by using the input–output stability theorem for nonlinear systems, based on generalized frequency response function (GFRF). According to such the resultant, the parameter stability domain of distributed PID controllers for the nonlinear system with multiple agents can be obtained. This stability domain is the intersection set of the parameter stability domains of each nonlinear subsystem which is obtained by decoupling the multi-agent system according to its communication topology. The consistency of the given nonlinear system with multiple agents is able to be achieved by using any parameters of distributed PID controller in the obtained stability region. The proposed method is applicable to general polynomial nonlinear system with arbitrary nonlinear order theoretically. On the basis of theoretical analysis, the proposed simulation verifies the effectiveness of this method.

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References

  1. Olfati-Saber, R., Murray, R.M.: Consensus problems in networks of agents with switching topology and time-delays. IEEE Trans. Autom. Control 49(9), 1520–1533 (2004)

    Article  MathSciNet  Google Scholar 

  2. Jadbabaie, A., Lin, J., Morse, A.S.: Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Trans. Autom. Control 48(6), 988–1001 (2003)

    Article  MathSciNet  Google Scholar 

  3. Yu, W., Chen, G., Cao, M.: Consensus in directed networks of agents with nonlinear dynamics. IEEE Trans. Autom. Control 56(6), 1436–1441 (2011)

    Article  MathSciNet  Google Scholar 

  4. Zhao, Y., Duan, Z., Wen, G., et al.: Robust consensus tracking of multi-agent systems with uncertain Lur’e-type non-linear dynamics. IET Control Theory Appl. 7(9), 1249–1260 (2013)

    Article  MathSciNet  Google Scholar 

  5. Wang, C., Wang, X., Ji, H.: Leader-following consensus for a class of second-order nonlinear multi-agent systems. Syst. Control Lett. 89, 61–65 (2016)

    Article  MathSciNet  Google Scholar 

  6. Wang, X.H., Ji, H.B.: Leader-follower consensus for a class of nonlinear multi-agent systems. Int. J. Control Autom. Syst. 10(1), 27–35 (2012)

    Article  Google Scholar 

  7. You, X., Hua, C.C., Yu, H.N., et al.: Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control. Automatica 107, 418–424 (2019)

    Article  MathSciNet  Google Scholar 

  8. George, D.: Continuous nonlinear systems. MIT RLE Tech. Rep. 355 (1959)

    Google Scholar 

  9. Victor, J.D., Knight, B.W.: Nonlinear analysis with an arbitrary stimulus ensemble. Q. Appl. Math. 37(2), 113–136 (1979)

    Article  MathSciNet  Google Scholar 

  10. Yue, R., Billings, S.A., Lang, Z.Q.: An investigation into the characteristics of non-linear frequency response functions. Part 1: uUnderstanding the higher dimensional frequency spaces. Int. J. Control 78(13), 1031–1044 (2005)

    Google Scholar 

  11. Yue, R., Billings, S.A., Lang, Z.Q.: An investigation into the characteristics of non-linear frequency response functions. Part 2: nNew analysis methods based on symbolic expansions and graphical techniques. Int. J. Control 78(13), 1130–1149 (2005)

    Google Scholar 

  12. Billings, S.A., Peyton Jones, J.C.: Mapping nonlinear integro-differential equations into the frequency domain. Int. J. Control 52, 863–879 (1990)

    Article  Google Scholar 

  13. Han, C., Cao, J.: Study on stability of nonlinear control system based on generalized frequency response functions. Control Theory Appl. 13(5), 573–582 (1996)

    MathSciNet  Google Scholar 

  14. Tan, N., Kaya, I., Yeroglu, C., et al.: Computation of stabilizing PI and PID controllers using the stability boundary locus. Energy Convers. Manage. 47(18–19), 3045–3058 (2006)

    Article  Google Scholar 

  15. Luan, X., Chen, Q., Albertos, P., et al.: Stabilizing parametric region of multiloop PID controllers for multivariable systems based on equivalent transfer function. Math. Problems Eng. 46(3), 1–7 (2016)

    Article  MathSciNet  Google Scholar 

  16. Lang, Z.Q., Billings, S.A.: Energy transfer properties of non-linear systems in the frequency domain. Int. J. Control 78(5), 345–362 (2005)

    Article  MathSciNet  Google Scholar 

  17. Peng, Z.K., Lang, Z.Q., Billings, S.A., et al.: Comparisons between harmonic balance and nonlinear output frequency response function in nonlinear system analysis. J. Sound Vib. 311(1–2), 56–73 (2008)

    Article  Google Scholar 

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Correspondence to Xinyi Yu .

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Xu, S., Yu, X., Ding, P., Ou, L. (2022). PID Control of Nonlinear Multi-agent System Based on Generalized Frequency Response Function. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_409

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