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An adaptive fuzzy controller for controlling a multi-input-multi-output uncertain nonlinear system is proposed in this paper. The controller design is observer based since not all the system states are measurable. The fuzzy adaptive controller with modulated membership function (FAC_MMF) modulates the fuzzy sets on both the consequent and antecedent parts by adjusting a few parameters. As searching...
In this paper, a sampled-data iterative learning control (ILC) approach is proposed for a class of nonlinear networked control systems. The motivation of this approach is to deal with control problems when the environment is periodic or repeatable over iterations in a fixed finite interval. In the networked control systems (NCS), because of the existence of time delays and packet losses in input and...
In this work, we propose a new method approach of designing a repetitive learning controller for a class of unmatched nonlinear systems with both completely unknown virtual control coefficients and unknown time-varying parameters. By incorporating a Nussbaum-type function and backstepping technique, the learning control mechanism is constructed with both differential and difference updating learning...
In this paper, a new adaptive variable structure control (VSC) scheme is proposed for nonlinear systems without a prior knowledge of control directions. By incorporating a Nussbaum-type function, the new adaptive VSC law can ensure the asymptotic convergence of the tracking error in the existence of non-parametric uncertainties. Simulation results are shown to validate the effectiveness of the proposed...
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