Titlebook: Robust Control for Uncertain Networked Control Systems with Random Delays; Dan Huang,Sing Kiong Nguang Book 2009 Springer-Verlag London 20

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Book 2009olved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system..

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Dan Huang,Sing Kiong Nguangare living creatures and, as such, are entitled to the same treatment as other living creatures. Teachers should remember that students look to them for clues to the proper way of behaving in new situations. When collecting and working in the “field” educators should teach student978-90-481-6757-9978-1-4020-3020-8

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are living creatures and, as such, are entitled to the same treatment as other living creatures. Teachers should remember that students look to them for clues to the proper way of behaving in new situations. When collecting and working in the “field” educators should teach student978-90-481-6757-9978-1-4020-3020-8

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Book 2009 when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network...The main technique used in this book is based on the Lyapunov-Razumikhin met

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Takagi–Sugeno Fuzzy Control Systemn the state space. The main feature of a T-S fuzzy model is to express the local dynamics of each fuzzy implication (rule) by a linear system model. The overall fuzzy model of the system is achieved by fuzzy “blending” of the linear system models.

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Robust Fuzzy Filter Design for Uncertain Nonlinear Networked Control Systemser is given in terms of the solvability of BMIs. It should be noted that the overall designed fuzzy filter is also a blending of local linear filters according to a given fuzzy rules. The viability of the results is verified by a real world example.