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Networked control system design over...
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Drew, Michael Christopher.
Networked control system design over a wireless LAN.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Networked control system design over a wireless LAN.
作者:
Drew, Michael Christopher.
面頁冊數:
94 p.
附註:
Chair: J. Karl Hedrick.
附註:
Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5638.
Contained By:
Dissertation Abstracts International66-10B.
標題:
Engineering, Mechanical.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3190815
ISBN:
9780542342936
Networked control system design over a wireless LAN.
Drew, Michael Christopher.
Networked control system design over a wireless LAN.
- 94 p.
Chair: J. Karl Hedrick.
Thesis (Ph.D.)--University of California, Berkeley, 2005.
Control over wireless networks has many compelling applications, including automated highway systems, automated factories, smart homes, and appliances. Wireless networks allow fully mobile operation, flexible installation and rapid deployment while reducing maintenance costs. However, building a wireless networked control system is a challenging task because a wireless network inevitably introduces random delays and packet loss in the feedback loop.
ISBN: 9780542342936Subjects--Topical Terms:
212470
Engineering, Mechanical.
Networked control system design over a wireless LAN.
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In our research we analyze and implement a networked control system (NCS) where the communication between the sensors, the controller, and the actuator takes place over a wireless LAN (802.11b) ad hoc system. The wireless LAN system introduces random delays and packet loss in the feedback loop. We construct a coherent generalized NCS model and present a technique of state estimation which does not rely on network acknowledgment packets. Then, we present a method of Linear Quadratic Gaussian (LQG) control which is optimal in the presence of stochastic feedback delay and packet loss. We also prove an extended version of the separation principle between our estimator and controller. We see from our experimental data that the optimal LQG controller that takes the delays and loss into account indeed performs better than traditional LQG control.
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