Journal
IET CONTROL THEORY AND APPLICATIONS
Volume 14, Issue 14, Pages 1845-1854Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2019.1274
Keywords
control system synthesis; uncertain systems; closed loop systems; neurocontrollers; stability; adaptive control; nonlinear control systems; feedback; robust control; fuzzy control; linear systems; time adaptive fuzzy control; nonlinear systems; event-triggered strategy; fixed-time tracking control problem; strict-feedback nonlinear system; event-triggering mechanism; control signal; fuzzy logic system; nonlinearities; event-triggered adaptive fuzzy control strategy; resulting closed-loop system converge; tracking error; initial states; controlled system; finite-time stability; similar control performance; fixed-time control scheme
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Funding
- NNSF [61803255, 61673174]
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This study is devoted to the fixed-time tracking control problem for a class of uncertain strict-feedback non-linear system. An event-triggering mechanism is introduced into the channel from controller to actuator for decreasing the transmission frequency of the control signal. By means of fuzzy logic system to approximate the lumped unknown non-linearities, an event-triggered adaptive fuzzy control strategy is developed such that all signals of the resulting closed-loop system converge to the bounded domain within a fixed-time, while the tracking error will reach an adjustable residue set. A key feature of the proposed control strategy is that the fixed-time is independent of the initial states of the controlled system, which is different from some existing works on finite-time stability. Thus, the similar control performance can be attained for arbitrary bounded initial states in this work. Finally, the proposed fixed-time control scheme is verified via two simulation examples.
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