Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 65, Issue 1, Pages 318-324Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2019.2912517
Keywords
Control systems; Nonlinear systems; Adaptive control; Real-time systems; Asymptotic stability; Stability criteria; Adaptive control; event-triggered control; parameter estimator triggering
Funding
- National Natural Science Foundation of China [61703061, 61673035]
- Basic Science and Frontier Technology Research Projects of Chongqing Science and Technology Program [cstc2018jcyjAX0498]
- Fundamental Research Funds for Central Universities [2019CDCGZDH208, 2019CDQYZDH007]
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In this note, the event-triggered adaptive control for a class of uncertain nonlinear systems is considered. Unlike the traditional adaptive event-triggered control, the controller and parameter estimator are event-triggered simultaneously. Asymptotical convergence of stabilization error is guaranteed. To solve this problem, we design a set of event-triggering conditions, which is updated for each triggering. At the same time, the input-to-state stable assumption is not needed. It is shown that the proposed control schemes guarantee that all the closed-loop signals are globally bounded and the stabilization error converges to the origin asymptotically. Simulation results illustrate the effectiveness of our scheme.
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