Global Dynamic Event-Triggered Control for Nonlinear Systems With Sensor and Actuator Faults: A Matrix-Pencil-Based Approach

IEEE TRANSACTIONS ON AUTOMATIC CONTROL(2024)

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摘要
It is practically interesting to achieve global event-triggered control for mismatched uncertain nonlinear systems subject to sensor and actuator faults. In this article, we present a low-conservative solution and consider the output-feedback scenario. The design and analysis innovations include the following: 1) by using a scaling transformation with its gain being online tuned dynamically, we convert the original system with constant coefficients into one with dynamic coefficients, allowing for casting the design procedure within several matrix pencil structures; 2) to deal with discontinuous yet time-varying perturbations arising from the corrupted feedback signals, we insert static damping terms into matrix pencils to ensure that the resulting algorithm is sufficiently robust; and 3) to save communication resources more efficiently as well as to enlarge execution intervals between each information transmission, double-side dynamic event-triggering mechanisms are proposed, where the triggering thresholds are designed as monotonically nonincreasing functions. The resultant control scheme is essentially of linear feedback form without involving any recursiveness, rendering it structurally simple and computational low-complex. In addition, the design parameters consist of the maximum/minimum generalized eigenvalues of the matrix pencils formulated to capture the detailed structure of the uncertainty terms, which consequently leads to control algorithms with low conservativeness and sufficient robustness to mismatched uncertainties and corrupted outputs/inputs. Numerical simulations verify the effectiveness of the proposed method.
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关键词
Actuators,Uncertainty,Transient analysis,Stability analysis,Nonlinear dynamical systems,Closed loop systems,Noise measurement,Dynamic feedback,matrix pencils,nonlinear systems,sensor and actuator faults,event-triggered control
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