| M.S. Branicky, S.M. Phillips, and W. Zhang. Scheduling and feedback co-design for networked control systems. Proc. IEEE CDC, Las Vegas, 2002. |
....parameters and design variables, respectively, impacting these performances. With this in hand, we define: NCS Problem. Maximize J subject to stability and network communication constraints. 2. 2 Technical Approach The NCS Problem above may be attacked holistically using our co design approach [5]. Designs may be verified using our newly developed co simulation framework (introduced below) As the design choices are many, and the interacting tradeo#s are complex, cycling this process is anticipated. See Fig. 3. Mission performance specifications Control design for agents Bounds from ....
....theory above) of their data in order for the interactions among agents to be stable. However, when the transmission path is shared with other agents, transmission scheduling among the plants has to be considered. Concepts of network scheduling in NCSs may be extended from those for CPU scheduling [5]. Both cases involve allocating a shared resource to a set of concurrent tasks; both involve frequent invocations of concurrent tasks, and both tasks have real time constraints and have deadlines to be met. However, in the case of network scheduling in NCSs, the shared resource becomes the network ....
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M.S. Branicky, S.M. Phillips, and W. Zhang. Scheduling and feedback co-design for networked control systems. Proc. IEEE CDC, Las Vegas, 2002.
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