Improved Takagi-Sugeno fuzzy output tracking control for nonlinear networked control systems
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Universidade Federal de Minas Gerais
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Artigo de periódico
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This paper deals with the output tracking control problem for nonlinear networked control systems (NCSs) described by Takagi-Sugeno (T-S) fuzzy models. Due to the existence of inherent constraints in NCS as communication time-delays and limitation of data transmission capacity, a recent event-triggered scheme proposed in the literature is implemented to reduce the bandwidth utilization. On the other hand, the communication time-delay imposes an asynchronously operation between the proposed T-S fuzzy controller and the T-S fuzzy system handled via new LMI based conditions. Furthermore, a synchronous model operation is also proposed in this paper which allows to design a linear controller which is much simpler to implement. The main results are derived following the selection of an appropriate fuzzy Lyapunov Krasovskii Functional (LKF) together with alternative integral inequalities which lead to less conservative conditions when compared to recent results in the literature. An example illustrates the effectiveness of the proposed output tracking control for NCSs fuzzy models.
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Liapunov, Funções de, Sistemas não lineares
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using a new class of integral inequalities and the use of fuzzy Lyapunov function, less conservative conditions can be obtained when compared with recent results.
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https://www.sciencedirect.com/science/article/pii/S0016003217304362