Abstract
This paper introduces a relaxation design of fault estimation observer for some nonlinear dynamical plants by means of the Takagi–Sugeno method. A featured fuzzy fault estimation observer is produced by utilizing the named maximum-priority-based switching law, which is different from these existing ones. For each enabled switching signal, the appropriate piece of enabled matrices can be produced to explore certain serviceable properties of the considered plants by introducing a piece of matrix-valued variables. Owing to the more useful information of the considered nonlinear plant could be properly updated and effectively employed at each time instant, the conservatism of the given result can be significantly released, at the same time, the result is less restraint than that previous ones. At last, there are some simulation results of the considered nonlinear truck-trailer plant are given to prove the profit of our theoretic approach.
This work was sponsored by “Six Talent Peaks Project” in Jiangsu Province of China under Grant XNY-040, in part sponsored by “Qing Lan Project” in Jiangsu Province of China.
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Xie, X., Liu, Y. (2017). Fault Estimation Observer Design of Nonlinear Systems with Actuator Faults. In: Yue, D., Peng, C., Du, D., Zhang, T., Zheng, M., Han, Q. (eds) Intelligent Computing, Networked Control, and Their Engineering Applications. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 762. Springer, Singapore. https://doi.org/10.1007/978-981-10-6373-2_45
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DOI: https://doi.org/10.1007/978-981-10-6373-2_45
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