Reliable Fuzzy Dynamic Positioning Tracking Controller for Unmanned Surface Vehicles Based on Aperiodic Measurement Information

Zheng, Maojun; Su, Yulai; Shuzi, Yang; Li, Lina

doi:10.1007/s40815-022-01414-9

Cited by 6 publications

(1 citation statement)

References 37 publications

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“…Therefore, they are widely applicable in various systems, such as multiagent systems [8,9], chaotic systems [10,11], masterslave systems [12], neural networks systems [13,14], Markovian jump systems [15], time delay systems [16,17], etc. They have also been used in severable practical engineering applications, including high-speed trains [18], autonomous airships [19], multipurpose supply vessels [20], luxury cruises [21], unmanned marine vehicles [22], etc. For example, reference [23] studied a discrete sampled-data system with a saturated actuator, and designed a robust controller using a convex approach to ensure the local stability of the systems with interval time delays.…”

Section: Introductionmentioning

confidence: 99%

Further Stability Criteria for Sampled-Data-Based Dynamic Positioning Ships Using Takagi–Sugeno Fuzzy Models

Zheng,

Su,

Yan

2024

Symmetry

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This article discusses the stability problem of sampled-data-based dynamic positioning ships (DPSs) using Takagi–Sugeno (T-S) fuzzy models. Firstly, dynamic equations for sampled-data DPSs are established. Simultaneously combining several symmetric matrices with new integral terms, a novel Lyapunov–Krasovskii function (LKF) is constructed, which allows the information of a sampling pattern to be fully captured. Next, via the constructed LKF, the positive definiteness requirements of a LKF are further relaxed, and the conservatism of the result can be reduced. Consequently, stability criteria are given, and fuzzy sampled-data controllers are designed in terms of linear matrix inequality (LMI). Finally, a simulation example is provided to verify the superiority and applicability of the developed methods.

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