| W.Zhang, M.S. Branicky, and S.M. Phillips. Stability of networked control systems. IEEE Control Systems Magazine, pages 84--, 2001. |
....many complex real time systems are built by interconnecting sub components. The behaviour of the overall system is determined not only by the composite behaviour of the sub systems but also by the interconnection structure between these components. Recently, networked control systems [Bus01, ZBP01] have gained popularity and is an active area of research. In this framework, the sub components of the control systems communicate via a communication network. The environment, in which such control systems operate, is a#ected by network induced delays, packet loss, multiple packet transmission ....
W. Zhang, M. S. Branicky, and S. M. Phillips. Stability of networked control systems. IEEE Control Systems Magazine, 21(1):84--99, Feb 2001.
....[8] considered scheduling over a shared communication link and obtained periodic communication patterns that achieve simultaneous stabilization of multiple systems that share a single central controller. By modeling the underlying NCS as an asynchronous dynamical system (see also [7] the work in [18] used hybrid system techniques in order to characterize stability in face of network induced delays and packet drops. Other related approaches were developed by explicitly accounting for network delays. For example, the approach in [11] dealt with delay by designing an optimal control scheme for ....
Z. Wei, M. S. Branicky, and S. M. Phillips. Stability of networked control systems. IEEE Control Systems Magazine, 21(1):84--99, February 2001.
....problem with network induced delay, packet dropouts, and multiple packet transmissions taken into account. 1 Introduction A networked control system (NCS) involves communication patterns in which both informational and physical control loops are closed through a real time network (e.g. [4, 15, 13, 18, 20]; see [19] for a thorough review) In NCSs, the performance of the control loops not only depends on the design of the control algorithms but also on the scheduling of the shared network resource. Roughly speaking, the problem of network scheduling in NCSs is to assign a transmission schedule to ....
.... as illustrated in Figure 1 (which is simplifed from the general case: linear plant and control and no actuator plant communication) Each plant transmits its sensors data at transmission period h i (t) One can compute the transmission period bounds in order for each individual plant to be stable [19, 20]. However, when the transmission path is shared with other NCSs, transmission scheduling among the plants has to be performed. A set of NCS transmissions is said to be schedulable by a scheduling algorithm (or the transmission schedule is feasible) if all transmissions can be completed before ....
W. Zhang, M.S. Branicky, and S.M. Phillips, Stability of networked control systems, IEEE Control Systems Magazine, 21(1):84--99, February 2001.
....due to the bandwidth and packet size constraints of the network. Because of the arbitration of the network medium with other nodes on the network, chances are, all part none of the packets could arrive at the time of control calculation. See Fig. 4 (right, bottom) In our own previous work [2, 3, 4], we have addressed all these issues for the case of linear plants and controllers. Preliminary results were shared in [3] In further studying the stability of NCSs with time varying transmission period, su#cient conditions on the transmission period to guarantee the stability of linear agent ....
....nodes on the network, chances are, all part none of the packets could arrive at the time of control calculation. See Fig. 4 (right, bottom) In our own previous work [2, 3, 4] we have addressed all these issues for the case of linear plants and controllers. Preliminary results were shared in [3]. In further studying the stability of NCSs with time varying transmission period, su#cient conditions on the transmission period to guarantee the stability of linear agent NCSs have been derived. Our main NCS stability theorem [4] is based on our Multiple Lyapunov Function approach [1] which ....
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W. Zhang, M.S. Branicky, and S.M. Phillips, Stability of networked control systems, IEEE Control Systems Magazine, 21(1):84--99, 2001.
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W.Zhang, M.S. Branicky, and S.M. Phillips. Stability of networked control systems. IEEE Control Systems Magazine, pages 84--, 2001.
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Zhang, W.; M. S. Branicky; S. M. Phillips. Stability of Networked Control Systems. IEEE Control Systems Magazine (2001), 21(1), 84-99.
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Zhang, W., Branicky, M. S., & Phillips S. M. (2001, February). "Stability of Networked Control Systems". IEEE Control Systems Magazine, 21(1), pp. 84-99.
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