Asymptotic tracking control for constrained nonstrict‐feedback MIMO nonlinear systems via parameter compensations
Lyapunov stability
DOI:
10.1002/rnc.4938
Publication Date:
2020-02-27T19:59:57Z
AUTHORS (4)
ABSTRACT
Summary This paper studies the problem of adaptive fuzzy asymptotic tracking control for multiple input output nonlinear systems in nonstrict‐feedback form. Full state constraints, quantization, and unknown direction are simultaneously considered systems. By using logic systems, functions identified. A modified partition variables is introduced to handle difficulty caused by structure. In each step backstepping design, symmetric barrier Lyapunov designed avoid breach issues overparametrization settled via introducing two compensation property Nussbaum function, respectively. Furthermore, an strategy raised. Based on stability analysis, developed can effectually ensure that all system bounded, errors asymptotically converge zero. Eventually, simulation results supplied verify feasibility proposed scheme.
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