Abstract
This chapter gives a brief summary of this book based on the evolution process of complex cascade systems. The relevant control and optimization methods are outlined at each stage. Moreover, some promising research topics are discussed for future work in the field of complex system resilience from the perspective of control and optimization, which include the systematic and rigorous framework, data-driven control and optimization method, distributed design, and validation of cooperative control and optimization strategies, and resilience modeling and control with uncertainties and incomplete information.
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References
Barabasi, A.: Barzel, et al, Universal resilience patterns in complex networks. Nature 530, 307 (2016)
Gama Dessavre, D., Ramirez-Marquez, J., Barker, K.: Multidimensional approach to complex system resilience analysis. Reliab. Eng. Syst. Saf. 149, 34–43 (2016)
Zhai, C., Alderisio, F., Slowinski, P., Tsaneva-Atanasova, K., di Bernardo, M.: Design and validation of a virtual player for studying interpersonal coordination in the mirror game. IEEE Trans. Cybern. 48(3), 1018–1029 (2018)
Zhai, C., He, Y., Zhang, C.: Design and validation of feedback controller for social motor coordination with time-varying delays. Control Eng. Pract. 109, 104756 (2021)
Dai, W., Chai, T., Yang, S.: Data-driven optimization control for safety operation of hematite grinding process. IEEE Trans. Ind. Electron. 62(5), 2930–2941 (2015)
Ashuri, T., Li, Y., Hosseini, S.: Recovery of energy losses using an online data-driven optimization technique. Energy Convers. Manage. 225, 113339 (2020)
Zhai, C., Nguyen, H.: Estimating the region of attraction for power systems using Gaussian process and converse Lyapunov function. IEEE Trans. Control Syst. Technol. 30(3), 1328–1335 (2022)
Hong, Y., Zhai, C.: Dynamic coordination and distributed control design of multi-agent systems. Control Theor. Appl. 28(10), 1506–1512 (2011)
Yang, P., Freeman, R., Lynch, K.: Multi-agent coordination by decentralized estimation and control. IEEE Trans. Autom. Control 53(11), 2480–2496 (2008)
Moutsinas, G., Zou, M., Guo, W.: Uncertainty of resilience in complex networks with nonlinear dynamics. IEEE Syst. J. 15(3), 4687–4695 (2021)
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Zhai, C. (2023). Summary and Future Work. In: Control and Optimization Methods for Complex System Resilience. Studies in Systems, Decision and Control, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-99-3053-1_12
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DOI: https://doi.org/10.1007/978-981-99-3053-1_12
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