Li, Lixiang; Peng, Haipeng; Yang, Yixian T-S fuzzy system design by chaotic ant swarm algorithm. (Chinese. English summary) Zbl 1174.90903 Acta Phys. Sin. 57, No. 2, 703-708 (2008). Summary: In this paper, we introduce a chaotic ant swarm algorithm and present a successful application of the algorithm to a problem of designing fuzzy system that matches the desired input-output pairs. The resulting CAS-designed fuzzy systems models can be used to achieve the identification and adaptive control of dynamical systems. Simulation results show that the proposed method is effective. MSC: 90C59 Approximation methods and heuristics in mathematical programming 93C40 Adaptive control/observation systems 93C42 Fuzzy control/observation systems 03E72 Theory of fuzzy sets, etc. Keywords:chaotic ant swarm algorithm; T-S fuzzy system; nonlinear dynamical system identification; adaptive control PDFBibTeX XMLCite \textit{L. Li} et al., Acta Phys. Sin. 57, No. 2, 703--708 (2008; Zbl 1174.90903)