1. A novel adaptive fuzzy prescribed performance congestion control for network systems with predefined settling time.
- Author
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Qi, Xuelei, Li, Chen, Ni, Wei, and Ma, Hongjun
- Subjects
- *
ADAPTIVE control systems , *CLOSED loop systems , *APPROXIMATION error , *DIFFERENTIAL equations , *TIME-varying systems , *NONLINEAR systems - Abstract
The adaptive predefined settling time performance tracking control for a class of uncertain nonlinear network systems with fast time-varying or even abrupt reference signals is studied. In this paper, an improved performance function with time-varying boundary (following the change of reference signal) is designed to overcome the problem that the traditional prescribed performance control (PPC) can only converge to a constant in steady state. Compared with the existing adaptive finite time prescribed performance congestion control for tracking fixed value reference signals, an adaptive predefined settling time prescribed performance congestion control strategy is proposed by means of some new recursive construction (introducing nonautonomous differential equations (NDE)) and analysis innovation. In addition, the network system considered in this paper is more general. Under the framework of backstepping, NDE is used iteratively to control the approximation error with boundary inequality. It is proved theoretically that all signals of the closed-loop system are predefined settling time bounded. Finally, the effectiveness of the proposed control strategy is verified by simulations. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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