Abstract

In this paper, decentralized output feedback prescribed performance control problem is investigated for a class of large-scale time-delay systems with uncertain parameters and unmodeled dynamics. First, via a kind of state transformation, the construction of the system is changed. Then, by linear matrix inequality (LMI), the decentralized filters are designed. Further, combine with radial basis function neural network and adaptive control technique, the output feedback prescribed performance controller is designed to guarantee the transient and steady-state output performance. It has been proved that all the signals of the closed-loop systems are ultimately uniformly bounded and both transient and steady state performance of the outputs are preserved. Finally, a simulation example is presented to verify the effectiveness of the results obtained.

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