Fazhan Tao, Rui Meng, Xinyu Lei, Baofeng Ji, Nan Wang
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Fixed-Time Predefined Performance Control for Stochastic Nonlinear Systems with Dead-Zone Input
This paper investigates the fixed-time predefined performance control problem for stochastic nonlinear systems with dead-zone input and unmeasurable states. By designing a fixed-time performance function (FTPF), the expected performance indexes can be obtained within fixed time. Combining dead-zone inverse technique with error transformation method, a model which contains a linear and a disturbance-like term is established to handle dead-zone nonlinearity. Subsequently, an observer-based fixed-time predefined performance controller is constructed by utilizing FTPF, which ensures that all variables in the closed-loop system are bounded in probability. Simultaneously, the tracking error of this paper converges to a predefined region in fixed time. Finally, the effectiveness of the presented control scheme is verified by two simulation examples.
期刊介绍:
The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.