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access icon free Data-driven-based event-triggered tracking control for non-linear systems with unknown disturbance

© The Institution of Engineering and Technology
Received 13/01/2019, Accepted 10/06/2019, Revised 29/04/2019, Published 12/06/2019

A novel event-triggered model-free adaptive tracking control problem is studied for non-linear systems with unknown bounded disturbance. A general dynamic linearisation model framework with disturbance input is developed and event-triggered-based model-free adaptive control algorithm is designed by using pseudo-partial derivatives method and input/output measurement data. Owing to the existence of unknown disturbance, a disturbance estimator is designed based on the optimisation criterion technique. Then, a new event-triggering mechanism with dead-zone operator is designed to improve the utility of network communication resources without Zeno phenomenon. Then, an observer-based controller with disturbance compensation is developed, such that the tracking error between the system output and desired output signal converges to a small residual set around the origin. Finally, two simulation examples are provided to show the effectiveness and practicability of the proposed approach.

Inspec keywords: linear systems; nonlinear control systems; observers; adaptive control; closed loop systems; learning systems; tracking; control system synthesis

Other keywords: event-triggered-based model-free adaptive control algorithm; event-triggered model-free adaptive tracking control problem; input/output measurement data; unknown bounded disturbance; nonlinear systems; event-triggering mechanism; observer-based controller; disturbance input; disturbance compensation; system output; tracking error; disturbance estimator; data-driven-based event-triggered; unknown disturbance; general dynamic linearisation model framework

Subjects: Self-adjusting control systems; Stability in control theory; Nonlinear control systems; Control system analysis and synthesis methods; Linear control systems

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