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Filtering, Control and Fault Detection by Hongli Dong-P2P

In the context of systems and control, incomplete information refers to a dynamical system in which knowledge about the system states is limited due to the difficulties in modelling complexity in a quantitative way. The well-known types of incomplete information include parameter uncertainties and norm-bounded nonlinearities. Recently, in response to the development of network technologies, the phenomenon of randomly occurring incomplete information has become more and more prevalent.
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered, and application potential in mobile robotics is also considered. The reader will benefit from the introduction of new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information by Hongli Dong, Zidong Wang, Huijun Gao-P2P
English | PDF reader |    Tech & Devices    | 1.6 MB
Download :  –  Upload4earnNTI

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  1. YTSTY
    January 23rd, 2019 | 15:31
  2. Castiel
    January 23rd, 2019 | 15:37
  3. museaddict
    January 23rd, 2019 | 15:44

    Filtering, Control and Fault Detection by Hongli Dong-P2P

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