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Adaptive Fuzzy Sliding Mode Control of Under-actuated Nonlinear Systems 被引量:2
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作者 Amir Hossein Davaie Markazi Mohammad Maadani +1 位作者 Seyed Hassan Zabihifar Nafiseh Doost-Mohammadi 《International Journal of Automation and computing》 EI CSCD 2018年第3期364-376,共13页
A new extension of the conventional adaptive fuzzy sliding mode control(AFSMC) scheme, for the case of under-actuated and uncertain affine multiple-input multiple-output(MIMO) systems, is presented. In particular,... A new extension of the conventional adaptive fuzzy sliding mode control(AFSMC) scheme, for the case of under-actuated and uncertain affine multiple-input multiple-output(MIMO) systems, is presented. In particular, the assumption for non-zero diagonal entries of the input gain matrix of the plant is relaxed. In other words, the control effect of one actuator can propagate from a subgroup of canonical state equations to the rest of equations in an indirect sense. The asymptotic stability of the proposed AFSM control method is proved using a Lyapunov-based methodology. The effectiveness of the proposed method for the case of under-actuated systems is investigated in the presence of plant uncertainties and disturbances, through simulation studies. 展开更多
关键词 Adaptive fuzzy sliding mode control (AFSMC) nonlinear systems uncertain systems under-actuated systems remoteenvironmental monitoring units (REMUS).
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