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Titlebook: Complex Systems: Spanning Control and Computational Cybernetics: Applications; Dedicated to Profess Peng Shi,Jovan Stefanovski,Janusz Kacpr

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11#
發(fā)表于 2025-3-23 09:55:19 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5s. However, due to the randomness and non-stationarity properties of most time series, it is difficult for single reservoir to better handle them, because different scales in the time series should be dealt with in a unified structure. In order to solve this, the time-series decomposition (TSD) is e
12#
發(fā)表于 2025-3-23 17:22:13 | 只看該作者
13#
發(fā)表于 2025-3-23 18:17:26 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5hed in the most important control system journals today. The faults are considered additive inputs in respect to the plant dynamics. Although the results are given without complete proofs, the key arguments that are used in the original proofs are given. The results are illustrated by examples.
14#
發(fā)表于 2025-3-24 02:00:56 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5 subject to unknown but bounded state disturbances and measurement noise. The proposed technique is investigated to reduce the conservatism of gain matrices and to offer more degrees of design freedom by integrating weighted matrices in the structure of the FD observer. Using multiple quadratic Lyap
15#
發(fā)表于 2025-3-24 06:18:47 | 只看該作者
16#
發(fā)表于 2025-3-24 06:40:38 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5ral sliding modes are presented. State and output approaches that guarantee the exact compensation of matched uncertainties/perturbations are explained in detail, and a constructive methodology is given to facilitate the practical design of the controller and the observer involved in the robustifica
17#
發(fā)表于 2025-3-24 10:55:12 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5bjects of the optimization were the feedback gains in the state feedback kind closed control loop. During the controller design, we utilized the results of our previous qualitative analysis of the model to be controlled. In order to realize the state feedback we implemented a discrete Extended Kalma
18#
發(fā)表于 2025-3-24 14:53:45 | 只看該作者
19#
發(fā)表于 2025-3-24 19:47:00 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5aper programs, the Word2vec neural network, the Perceptron neural network on the Deductor platform, and the QUIK trading terminal with an integrated Lua-socket. The study is based on the theoretical background of forecasting time series of financial instruments. This article dwells on the experience
20#
發(fā)表于 2025-3-25 00:46:29 | 只看該作者
https://doi.org/10.1007/978-1-4419-1649-5capacity to reflect a stability requirement which addresses a clear preference of the stakeholders for a limited variability of crucial development indicators and parameters. We presented the use of fuzzy dynamic programming for solving the problem in which many crucial aspects, in particular life q
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