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Название: Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis
Автор: Hongli Dong, Zidong Wang, Nan Hou
Издательство: CRC Press
Год: 2022
Страниц: 278
Язык: английский
Формат: pdf (true)
Размер: 44.5 MB
Nowadays, with the development of computers and communication network technology, the complexity of networked systems tends to increase rapidly. In the areas of engineering, computer science and mathematics, a growing attention has been paid to the analysis and synthesis issues for nonlinear stochastic time-varying systems with different network-enhanced complexities. Specifically, the complexities contain time-delays, saturations, nonlinearity, stochasticity, time-varying parameters, randomly occurring phenomena, state-multiplicative noises, fading channels, redundant channels, measurement quantizations, actuator and sensor failures and stochastic inner couplings, etc, the ignoring of which may deteriorate the working effects of the designed filters, fault estimators and reliable controllers. Thus, it has practical significance to investigate the filtering, fault estimation and reliable control problems for systems with such network-enhanced complexities and avoid the negative influences from the network-induced phenomena on the system performance.
Автор: Hongli Dong, Zidong Wang, Nan Hou
Издательство: CRC Press
Год: 2022
Страниц: 278
Язык: английский
Формат: pdf (true)
Размер: 44.5 MB
Nowadays, with the development of computers and communication network technology, the complexity of networked systems tends to increase rapidly. In the areas of engineering, computer science and mathematics, a growing attention has been paid to the analysis and synthesis issues for nonlinear stochastic time-varying systems with different network-enhanced complexities. Specifically, the complexities contain time-delays, saturations, nonlinearity, stochasticity, time-varying parameters, randomly occurring phenomena, state-multiplicative noises, fading channels, redundant channels, measurement quantizations, actuator and sensor failures and stochastic inner couplings, etc, the ignoring of which may deteriorate the working effects of the designed filters, fault estimators and reliable controllers. Thus, it has practical significance to investigate the filtering, fault estimation and reliable control problems for systems with such network-enhanced complexities and avoid the negative influences from the network-induced phenomena on the system performance.