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Finite-Horizon Consensus Control of Multi-agent Systems with Random Access Protocol

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Communication-Protocol-Based Filtering and Control of Networked Systems

Abstract

In this chapter, the finite-horizon \(H_{\infty }\)consensus control problem is investigated for a class of time-varying multi-agent systems subject to the Random Access protocol scheduling. The communication topology of the multi-agent network is described by a directed graph. For the purpose of curbing data collision, the Random Access protocol is utilized to schedule the signal transmissions between each agent and the neighboring ones. A sequence of random variables is employed to describe the scheduling effects of all the agents. The purpose of the problem addressed in this chapter is to design a cooperative controller for each agent such that, for all the Random Access protocol scheduling behaviors, the \(H_{\infty }\)consensus performance is achieved over a given finite horizon for the closed-loop multi-agent system. By using the mapping technology and the Hadamard product, the closed-loop system is described by a time-varying system with a stochastic parameter matrix. The required time-varying controller parameters are calculated by solving two coupled backward recursive difference equations.

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References

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

    Google Scholar 

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

    Google Scholar 

  3. Liu, C., Liu, F.: Stationary consensus of heterogeneous multi-agent systems with bounded communication delays. Automatica 47(9), 2130–2133 (2011)

    Google Scholar 

  4. Zhang, Y., Tian, Y.: Consensus of data-sampled multi-agent systems with random communication delay and packet loss. IEEE Trans. Autom. Control 55(4), 939–943 (2010)

    Google Scholar 

  5. Yu, W., Chen, G., Cao, M.: Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems. Automatica 46(6), 1089–1095 (2010)

    Google Scholar 

  6. Wang, S., Xie, D.: Consensus of second-order multi-agent systems via sampled control: undirected fixed topology case. IET Control Theory Appl. 6(7), 893–899 (2012)

    Google Scholar 

  7. Liu, Y., Jia, Y.: Consensus problem of high-order multi-agent systems with external disturbances: an \({\mathscr {H}}_{\infty }\) analysis approach. Int. J. Robust Nonlinear Control 20(14), 1579–1593 (2010)

    Google Scholar 

  8. Patterson, S., Bamieh, B., Abbadi, A.: Convergence rates of distributed average consensus with stochastic link failures. IEEE Trans. Autom. Control 55(4), 880–892 (2010)

    Google Scholar 

  9. Gao, C., Wang, Z., He, X., Dong, H: Fault-tolerant consensus control for multi-agent systems: an encryption-decryption scheme. IEEE Trans. Autom. Control https://doi.org/10.1109/TAC.2021.3079407 (in press)

  10. Ding, D., Wang, Z., Han, Q.-L.: Neural-network-based consensus control for multi-agent systems with input constraints: the event-triggered case. IEEE Trans. Cybern. 50(8), 3719–3730 (2020)

    Google Scholar 

  11. Wang, L., Wang, Z., Wei, G., Alsaadi, F.E.: Observer-based consensus control for discrete-time multiagent systems with coding-decoding communication protocol. IEEE Trans. Cybern. 49(12), 4335–4345 (2019)

    Google Scholar 

  12. Horn, R.A., Johnson, C.R.: Topics in Matrix Analysis. Cambridge University Press, Cambridge (1994)

    MATH  Google Scholar 

  13. Styan, G.P.H.: Hadamard products and multivariate statistical analysis. Linear Algebr. Appl. 6, 217–240 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  14. Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.: Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements. Int. J. Gen. Syst. 44(2), 142–154 (2015)

    Google Scholar 

  15. Ding, D., Wang, Z., Dong, H., Shu, H.: Distributed \({\mathscr {H}}_{\infty }\) state estimation with stochastic parameters and nonlinearities through sensor networks: the finite-horizon case. Automatica 48(8), 1575–1585 (2012)

    Google Scholar 

  16. Penrose, R., Todd, J.A.: On best approximate solutions of linear matrix equations. Math. Proc. Camb. Philos. Soc. 52(1), 17–19 (1956)

    Google Scholar 

  17. Alexander Fax, J., Murray, R.M.: Information flow and cooperative control of vehicle formations. IEEE Trans. Autom. Control 49(9), 1465–1476 (2004)

    Google Scholar 

Download references

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Correspondence to Lei Zou .

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Zou, L., Wang, Z., Liang, J. (2022). Finite-Horizon Consensus Control of Multi-agent Systems with Random Access Protocol. In: Communication-Protocol-Based Filtering and Control of Networked Systems. Studies in Systems, Decision and Control, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-030-97512-8_10

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