Zhang, Y.; Wang, F.; Hesketh, T.; Clements, D. J.; Eaton, R. Fault accommodation for nonlinear systems using fuzzy adaptive sliding control. (English) Zbl 1085.93518 Int. J. Syst. Sci. 36, No. 4, 215-220 (2005). Summary: An active fault accommodation control law is developed for a class of nonlinear systems to guarantee the closed-loop stability in the presence of a fault, based on a fuzzy logic system representation of the dynamics due to faults. It uses the fuzzy logic system to approximate the dynamics caused by the fault. Through the adaptive process of the parameters, the dynamics caused by the fault is counteracted. The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation error. Simultaneously, the closed-loop system is stable in Lyapunov sense and the tracking error converges to a neighbourhood of zero. An example of the proposed design indicates that the fault accommodation control law is effective for a nonlinear system. Cited in 4 Documents MSC: 93C42 Fuzzy control/observation systems 93B12 Variable structure systems PDFBibTeX XMLCite \textit{Y. Zhang} et al., Int. J. Syst. Sci. 36, No. 4, 215--220 (2005; Zbl 1085.93518) Full Text: DOI References: [1] Boskovic DJ, Proceedings of the American Control Conference pp pp. 2455–2459– (1998) [2] Chen R, Robust Model-Based Fault Diagnosis for Dynamic Systems (1999) · Zbl 0920.93001 [3] Chu D, 15th Triennial World Congress of the International Federation of Automatic Control pp pp. 599–604– (2002) [4] DOI: 10.1109/9.728881 · Zbl 0957.90037 · doi:10.1109/9.728881 [5] Idan M, Proceedings of the American Control Conference pp pp. 2918–2923– (2001) [6] Kim SW, Fuzzy Set and Systems 71 pp pp. 359–367– (1995) [7] Patton JR, Issues of Fault Diagnosis for Dynamic System (2000) [8] Patton JR, Proceedings of IFAC Symposium. Fault Detection, Supervision Safety for Process pp pp. 1033–1055– (1997) [9] DOI: 10.1109/9.40741 · Zbl 0693.93046 · doi:10.1109/9.40741 [10] Slotine J-JE, Prentice-Hall (1991) [11] DOI: 10.1080/00207170110102792 · Zbl 1033.93029 · doi:10.1080/00207170110102792 [12] DOI: 10.1016/0005-1098(94)E0045-J · Zbl 0825.93249 · doi:10.1016/0005-1098(94)E0045-J [13] Wang L-X, A Course in Fuzzy Systems and Control (1997) [14] Yang G, IEEE Transactions on Automatic Control 43 pp pp.1588–1593– (1998) · Zbl 0959.93016 [15] Zhang Y, 15th Triennial World Congress of the International Federation of Automatic Control pp pp. 322–326– (2002) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.