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Additional info for Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings
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18 C. Zheng et al. References 1. : Analysis and synthesis of Markov jump linear systems with time-varying delays and partially known transition probabilities. IEEE Trans. Auto. Con. 53, 2458–2464 (2008) 2. : Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities. Int. J. Con. 83, 1564–1572 (2010) 3. : Robust stability and stabilization of discrete-time Markov jump linear systems with partly unknown transition probability matrix. In: American Control Conference (ACC), pp.
The block diagram of the proposed control system. Neural Dynamic Surface Control for PWM Rectifier 33 Table 1. 1Ω DC-link capacitor 5000μF Table 2. 3 ∗ 10−7 Stability Analysis Theorem 1: Consider the closed-loop system consisting of the system (1), (2) with the virtual control law (6), the actual control laws (12), (17), the NNs (7), (13), (18), and the LTD (10). All signals in the closed-loop system are uniformly ultimately bounded, and the tracking errors of the output voltage and the q axis current can converge to a small neighborhood of the origin.
Zeng, Z. ) ISNN 2013, Part I. LNCS, vol. 7951, pp. 125–132. Springer, Heidelberg (2013) Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg 27 17. : Seeking consensus in networks of linear agents: communication noises and Markovian switching topologies. IEEE Transactions on Automatic Control 60(5), 1374–1379 (2015) 18. : Consensus conditions of multi-agent systems with time-varying topologies and stochastic communication noises. IEEE Transactions on Automatic Control 55(9), 2043–2057 (2010) 19.