Abstract

This paper studies the global stabilization problem for a class of uncertain time-delay nonlinear systems by designing a sampled-data output feedback controller via network. Under a lower triangular linear growth condition, when only the output is measurable, a sampled-data output feedback network controller, whose observer and control law are both linear, is constructed to solve the stabilization problem. Using a feedback domination design approach which substantially differs from the separation principle, we explicitly construct a Lyapunov–Krasovskill functional to prove the global asymptotic stability with the help of inductive proof method. The control law is discrete-time and linear, hence simulation examples be easily implemented with computers to show the effectiveness of our proposed method.

Highlights

  • Introduction and OverviewIn this paper, we will extend the results in [1] to the nonlinear networked systems when the control input is transmitted through the shared common-use network

  • In [14], the global asymptotic stabilization is solvable using a sample-data output feedback controller with an appropriate sampling period. e objective of this paper is to prove that when is not zero, there exists a sampled-data controller which globally asymptotically stabilizes the uncertain nonlinear system (1) and (2)

  • We show that the problem of output feedback stabilization for system (1) and (2) under sampled-data control is solvable under Assumptions 1, 3, and 5

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Summary

Introduction and Overview

We will extend the results in [1] to the nonlinear networked systems when the control input is transmitted through the shared common-use network. In [14], under the same lower-triangular linear growth condition for the unknown nonlinearities as in [15], a sampled-data output feedback controller is explicitly constructed to globally stabilize the system (1) for the case of = 0. Du et al [25] discussed the global sampled-data output feedback stabilization problem for the upper-triangular nonlinear systems with input delay. Is paper will show that under the same assumption used in [20, 27], i.e., the lower triangular linear growth condition for the unknown nonlinearities with time-delay, we can explicitly construct a sampled-data output feedback network controller to globally stabilize system (1).

Problem Statement and Assumptions
Output-Feedback Networked Control
Simulation Results
Conclusion
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