Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 18, Issue 5, Pages 845-861Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2010.2050326
Keywords
Adaptive decentralized control; backstepping design; dynamical uncertainties; fuzzy-logic systems (FLSs); high-frequency-gain sign; K-filters; large-scale nonlinear systems
Funding
- National Natural Science Foundation of China [61074104]
- Outstanding Youth Funds of Liaoning Province [2005219001]
- Educational Department of Liaoning Province [2006R29, 2007T80]
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In this paper, an adaptive fuzzy-decentralized robust output-feedback-control approach is proposed for a class of large-scale strict-feedback nonlinear systems with the unmeasured states. The large-scale nonlinear systems in this paper are assumed to possess the unstructured uncertainties, unmodeled dynamics, and unknown high-frequency-gain sign. Fuzzy-logic systems are used to approximate the unstructured uncertainties, K-filters are designed to estimate the unmeasured states, and a dynamical signal and a special Nussbaum gain function are introduced into the control design to solve the problem of unknown high-frequency-gain sign and dominate unmodeled uncertainties, respectively. Based on the backstepping design and adaptive fuzzy-control methods, an adaptive fuzzy-decentralized robust output-feedback-control scheme is developed. It is proved that the proposed adaptive fuzzy-control approach can guarantee that all the signals in the closed-loop system are uniformly and ultimately bounded, and the tracking errors converge to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by using simulation results.
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