tracking-based decentralized hybrid adaptive output feedback fuzzy control for a class of large-scale nonlinear systems
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Cited by (25)
Adaptive fuzzy decentralized control for a class of nonlinear systems with different performance constraints
2019, Fuzzy Sets and SystemsCitation Excerpt :The performance constraint of every subsystems is not the same in this paper, that is to say, some subsystems concern the prescribed performance tracking errors constraint and the others involve the asymmetric time-varying output constraint. The adaptive fuzzy/neural decentralized control approaches were also investigated in [15–25,60], however, in [15–25], the objective is only to guarantee convergence of the tracking error of every subsystems to a residual set, while in [60], the performance constraint of every subsystems is the same. To accomplish the prescribed tracking error constraint and the output constraint, the PPC method and BLF method are existed in independent literatures.
Backstepping-based decentralized adaptive neural H<inf>∞</inf> tracking control for a class of large-scale nonlinear interconnected systems
2018, Journal of the Franklin InstituteCitation Excerpt :The tracking error is guaranteed to converge to zero. [4,5] employ the direct and indirect adaptive schemes by means of fuzzy or neural network so that interconnections with arbitrary nonlinear bounds can be easily handled. [6] is a weighted combination of indirect and direct adaptive fuzzy controls (IAFC and DAFC) such that both fuzzy descriptions and control rules can be incorporated at the same time.
Fuzzy-based interaction prediction approach for hierarchical control of large-scale systems
2017, Fuzzy Sets and SystemsCitation Excerpt :It is worth mentioning that the nonlinear dynamics of each joint are influenced by the states and control actions of the other subsystems, acting as interactions. The system of two inverted pendulums on cars has been used by many researchers as a model to illustrate the application of control methods in large-scale systems [33–37]. This system has also been referred to as the benchmark in [35,36].
Adaptive fuzzy PD control with stable H<sup>∞</sup> tracking guarantee
2017, NeurocomputingAdaptive fuzzy output feedback control for MIMO switched nonlinear systems with prescribed performances
2017, Fuzzy Sets and SystemsAnti-sway tracking control of tower cranes with delayed uncertainty using a robust adaptive fuzzy control
2016, Fuzzy Sets and Systems