By Feng Xia
With emphasis on versatile source administration in networked and embedded real-time keep an eye on structures working in dynamic environments with uncertainty, regulate and Scheduling Codesign is dedicated to the mixing of keep an eye on with computing and verbal exchange. It covers the authors' contemporary and unique study effects inside a unified framework of suggestions scheduling. New techniques with appreciate to CPU scheduling, strength administration, and community bandwidth allocation advertise the advancements within the quarter of regulate and scheduling codesign. The booklet additionally comprises wealthy examples, case stories, and wide references to the literature. it's a helpful reference for researchers, practitioners, and graduate scholars in platforms, keep watch over, desktop, and verbal exchange engineering. The viewers will have fun with the multidisciplinary codesign framework and strategies that discover the interaction among keep an eye on and scheduling, in addition to new insights into examine and improvement in networked and embedded systems.
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Additional info for Control and Scheduling Codesign: Flexible Resource Management in Real-Time Control Systems (Advanced Topics in Science and Technology in China)
Alleyne. Closed Loop Control over Wireless Networks. 58 - 7 1 , 2004. D. PriscoU, A. Isidori. A Control Engineering Approach to Integrated Congestion Control and Scheduling in Wireless Local Area Networks. 541 - 558, 2005. H. Ramamurthy, D. Lai, B. S. Prabhu, R. Gadh. ReWINS: A Distributed Multi-RF Sensor Control Network for Industrial Automation. 24 - 3 3 , 2005. B. Ravindran, P. Kachroo, T. H e ^ y . IntelUgent Feedback Control-based Adaptive Resource Management for Asynchronous. Decentralized RealTime Systems, IEEE Trans.
Naturally, the shared resource of interest is the CPU time. Accordingly, the most common objective of the codesign is to optimize the overall quality of control of the system subjected to CPU resource constraints [ARZOSa]. Seto, et al. [SET96, SET98] first consider optimizing the overall control performance under the constraint of real-time control task schedulability. 1) where a and^ are related parameters, and/is the sampling frequency, the reciprocal of the sampling period. Thereafter the above performance index is used in a lot of works to address the problem of overall control performance optimization under the system schedulability constraint.
The former, based on the PID algorithm, takes the responsibility of controlling a specific performance index by regulating the CPU utilization of tasks. The latter then derives the sampling frequencies under the current utilization constraint using the task-oriented scheduling algorithm. CodesigQ approaches based on advanced control or optimization techniques have also been presented. In [PAL02b] PalopoU, et al. formulate the problem of optimizing the robustness of the controlled systems under CPU resource constraints, assuming a time-triggered model of computation for control tasks and a real-time preemptive scheduling policy.