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Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.


Papers
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Journal ArticleDOI
TL;DR: A specific architecture (DRA-FRL) is presented, which uses the emerging methodology of reinforcement learning in conjunction with fuzzy rulebases to achieve the desired objective of adaptive reconfiguration of a distributed system based on maximizing the long-term business value.

85 citations

Journal ArticleDOI
Jack Jean1, Karen A. Tomko1, V. Yavagal1, J. Shah1, R. Cook1 
TL;DR: The development of a dynamically reconfigurable system that can support multiple applications running concurrently and the impact of supporting concurrency and preloading in reducing application execution time is demonstrated.
Abstract: This paper describes the development of a dynamically reconfigurable system that can support multiple applications running concurrently. A dynamically reconfigurable system allows hardware reconfiguration while part of the reconfigurable hardware is busy computing. An FPGA resource manager (RM) is developed to allocate and de-allocate FPGA resources and to preload FPGA configuration files. For each individual application, different tasks that require FPGA resources are represented as a flow graph which is made available to the RM so as to enable efficient resource management and preloading. The performance of using the RM to support several applications is summarized. The impact of supporting concurrency and preloading in reducing application execution time is demonstrated.

84 citations

Journal ArticleDOI
TL;DR: An adaptive fault-tolerant cooperative control scheme is proposed to achieve the coordinated tracking control of networked uncertain Lagrange systems on a general directed communication topology, which contains a spanning tree with the root node being the active target system.
Abstract: This paper investigates the distributed fault-tolerant control problem of networked Euler-Lagrange systems with actuator and communication link faults. An adaptive fault-tolerant cooperative control scheme is proposed to achieve the coordinated tracking control of networked uncertain Lagrange systems on a general directed communication topology, which contains a spanning tree with the root node being the active target system. The proposed algorithm is capable of compensating for the actuator bias fault, the partial loss of effectiveness actuation fault, the communication link fault, the model uncertainty, and the external disturbance simultaneously. The control scheme does not use any fault detection and isolation mechanism to detect, separate, and identify the actuator faults online, which largely reduces the online computation and expedites the responsiveness of the controller. To validate the effectiveness of the proposed method, a test-bed of multiple robot-arm cooperative control system is developed for real-time verification. Experiments on the networked robot-arms are conduced and the results confirm the benefits and the effectiveness of the proposed distributed fault-tolerant control algorithms.

84 citations

Book
25 Nov 2008
TL;DR: Real-time execution of the models defined in the IEC 61499 standard is discussed with a closer look at predictable, event-triggered real-time systems.
Abstract: IEC 61499 is the newly adopted standard for distributed control systems and follows on from the IEC 61131 standard for programmable logic controllers (PLCs). This book discusses real-time execution of the models defined in the IEC 61499 standard with a closer look at predictable, event-triggered real-time systems.Manufacturing industries are experiencing rapidly changing global markets and thus face an increasing demand for flexible adaptable production systems. The text guides the reader in understanding how to design and reconfigure control applications at the real-time control layer of the automation system. The author describes how to introduce reconfiguration to existing as well as new software architectures and how to support reconfiguration in an execution environment.This book targets control, automation, and software engineers intending to develop distributed flexible industrial automation systems, as well as developers of adaptable embedded systems.

84 citations

Journal ArticleDOI
TL;DR: This work proposes an efficient heuristic algorithm to solve the distribution network reconfiguration problem for loss reduction and an efficient random walks-based technique for the loss estimation in radial distribution systems.
Abstract: The efficiency of network reconfiguration depends on both the efficiency of the loss estimation technique and the efficiency of the reconfiguration approach itself. We propose two novel algorithmic techniques for speeding-up the computational runtime of both problems. First, we propose an efficient heuristic algorithm to solve the distribution network reconfiguration problem for loss reduction. We formulate the problem of finding incremental branch exchanges as a minimum cost maximum flow problem. This approach finds the best set of concurrent branch exchanges yielding larger loss reduction with fewer iterations, hence significantly reducing the computational runtime. Second, we propose an efficient random walks-based technique for the loss estimation in radial distribution systems. The novelty of this approach lies in its property of localizing the computation. Therefore, bus voltage magnitude updates can be calculated in much shorter computational runtimes in scenarios where the distribution system undergoes isolated topological changes, such as in the case of network reconfiguration. Experiments on distribution systems with sizes of up to 10476 buses demonstrate that the proposed techniques can achieve computational runtimes shorter with up to 7.78 times and with similar or better loss reduction compared to the Baran's reconfiguration technique .

84 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023784
20221,765
2021778
2020958
2019976
20181,060