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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.


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Proceedings ArticleDOI
04 Apr 2005
TL;DR: The REPLICA (relocation per online configuration alteration) filter is developed, which is capable of performing the necessary bitstream manipulations during the regular download process and enables the integration of dynamic systems that can be adapted to changing demands during runtime.
Abstract: The feature of partial reconfiguration provided by currently available field programmable gate arrays (FPGAs) makes it possible to change hardware modules while others keep working. The combination of this feature and the high gate capacity enables the integration of dynamic systems that can be adapted to changing demands during runtime. Placing the dynamically changing modules along a horizontal communication infrastructure does not only provide communication facilities it also enables the relocation of pre-synthesized modules by bitstream manipulations. The exact placement of an incoming module is determined according to the current resource allocation, which results in an online placement problem. In order to prevent any extra configuration overhead for the relocation process, we developed the REPLICA (relocation per online configuration alteration) filter, which is capable of performing the necessary bitstream manipulations during the regular download process. The filter architecture, a configuration manager and an evaluation example are presented in this paper.

127 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the problem of designing a single unit which not only handles the required control action but also identifies faults occurring in actuators and sensors, and present a complete characterization for each case and gives systematic design procedures for both the integrated and non-integrated design of control and diagnosis units.
Abstract: Considers control systems operating under potentially faulty conditions. Discusses the problem of designing a single unit which not only handles the required control action but also identifies faults occurring in actuators and sensors. In common practice, units for control and for diagnosis are designed separately. Attempts to identify situations in which this is a reasonable approach and cases in which the design of each unit should take the other into consideration. Presents a complete characterization for each case and gives systematic design procedures for both the integrated and non‐integrated design of control and diagnosis units. Shows how a combined module for control and diagnosis can be designed which is able to follow references and reject disturbances robustly, control the system so that undetected faults do not have disastrous effects, reduce the number of false alarms and identify which faults have occurred.

127 citations

Journal ArticleDOI
TL;DR: This paper discusses the reconfiguration phase which is the transition between the current logical connection diagram and a target diagram, and considers here an approach where the network reaches some target connectivity graph through a sequence of intermediate connection diagrams, so that two successive diagrams differ by a single branch-exchange operation.
Abstract: Some of today's telecommunications networks have the ability to superimpose some form of logical connectivity, or virtual topology, on top of the underlying physical infrastructure. According to the degree of independence between the logical connectivity and the physical topology, the network can dynamically adapt its virtual topology to track changing traffic conditions, and cope with failure of network equipment. This is particularly true for lightwave networks, where a logical connection diagram is achieved by assignment of transmitting and receiving wavelengths to the network stations that tap into, and communicate over, an infrastructure of fiber glass. Use of tunable transmitters and/or receivers allow the logical connectivity to be optimized to prevailing traffic conditions. With rearrangeability having thus emerged as a powerful network attribute, this paper discusses the reconfiguration phase which is the transition between the current logical connection diagram and a target diagram. We consider here an approach where the network reaches some target connectivity graph through a sequence of intermediate connection diagrams, so that two successive diagrams differ by a single branch-exchange operation. This is an attempt at logically reconfiguring the network in a way that is minimally disruptive to the traffic. We propose and compare three polynomial-time algorithms that search for "short" sequences of branch-exchange operations, so as to minimize the overall reconfiguration time. For networks made of up to 40 stations, theoretical and simulation results show that, when a randomly selected diagram is to be changed to another randomly chosen diagram, the average number of branch-exchange operations required grows linearly with the size of the network. >

126 citations

Proceedings ArticleDOI
07 Aug 2002
TL;DR: A complete, local, and parallel reconfiguration algorithm for metamorphic robots made up of Telecubes, six degree of freedom cube shaped modules currently being developed at PARC is presented.
Abstract: We present a complete, local, and parallel reconfiguration algorithm for metamorphic robots made up of Telecubes, six degree of freedom cube shaped modules currently being developed at PARC. We show that by using 2 /spl times/ 2 /spl times/ 2 meta-modules we can achieve completeness of reconfiguration space using only local rules. Furthermore, this reconfiguration can be done in place and massively in parallel with many simultaneous module movements. Finally we present a loose quadratic upper bound on the total number of module movements required by the algorithm.

126 citations

Journal ArticleDOI
TL;DR: A robust searching hybrid evolutionary algorithm based on the combination of the Honey Bee Mating Optimization and the Discrete Particle Swarm Optimization, called DPSO–HBMO, is implied to solve the multi-objective Distribution Feeder Reconfiguration problem.

126 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