Abstract
A new fuzzy set-theoretic approach to the control design of interconnected uncertain nonlinear system is proposed. The uncertainty of the system is nonlinear and (possible) fast time-varying, which may be due to unknown parameter and input disturbance. The uncertainty bound can be described via a fuzzy set. In this paper, the control design consists of the control scheme design and control gain optimization. Under a state transformation, a new robust control scheme in deterministic form is proposed for the interconnected system, which is not fuzzy if-then rule-based. The optimal design of the control gain is then proposed via the fuzzy description of the uncertainty bound, which is formulated as a bivariate constrained optimization problem by minimizing a fuzzy-based performance index. We show that the globally unique solution to this optimization problem always exists. The closed-form (i.e., analytic) solution and the corresponding minimum value of the performance index are also presented. The resulting control is able to render the system performance in twofold. First, it guarantees uniform boundedness and uniform ultimate boundedness of the system regardless of the actual value of uncertainty. Second, it minimizes the fuzzy-based performance index associated with both the fuzzy system performance and the control cost.





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This work was supported by National Natural Science Foundation of China (Grant No. 51707004) and Aeronautical Science Foundation of China (Grant No. 2016ZC51025).
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Xu, J., Du, Y., Chen, YH. et al. Bivariate Optimization for Control Design of Interconnected Uncertain Nonlinear Systems: A Fuzzy Set-Theoretic Approach. Int. J. Fuzzy Syst. 20, 1715–1729 (2018). https://doi.org/10.1007/s40815-018-0472-9
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DOI: https://doi.org/10.1007/s40815-018-0472-9