Composite Anti-Disturbance Control of Hidden Semi-Markov Jump Systems via Disturbance Observer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Computer Science (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11424-023-2407-2.pdf
Reference41 articles.
1. Li F B, Shi P, Wu L G, et al., Quantized control design for cognitive radio networks modeled as nonlinear semi-Markovian jump systems, IEEE Trans. Industrial Elec., 2014, 62(4): 2330–2340.
2. Zhang L C, Lam H K, Sun Y H, et al., Fault detection for fuzzy semi-Markov jump systems based on interval type-2 fuzzy approach, IEEE Trans. Fuzzy Syst., 2019, 28(10): 2375–2388.
3. Shen H, Hu X H, Wang J, et al., Non-fragile H∞ synchronization for Markov jump singularly perturbed coupled neural networks subject to double-layer switching regulation, IEEE Trans. Neural Netw. Learn. Syst., 2021, 34(5): 2682–2692.
4. Wu X T, Shi P, Tang Y, et al., Stability analysis of semi-Markov jump stochastic nonlinear systems, IEEE Trans. Autom. Control, 2021, 67(4): 2084–2091.
5. Lin Y Q, Zhuang G M, Xia J W, et al., Sampled-data H∞ dynamic output feedback controller design for fuzzy markovian jump systems, Journal of Systems Science & Complexity, 2023, 36(1): 239–256.
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