Topic
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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TL;DR: In this paper, the authors provide a tutorial overview of fault-tolerant control over the network for network control systems (NCS) that are likely to lead to good fault tolerant control properties, subject to network faults.
140 citations
TL;DR: General principles for designing mechanical pathways are established, opening up new avenues for self-folding media, pluripotent materials, and pliable devices in areas such as stretchable electronics and soft robotics.
Abstract: Multi-step pathways—which consist of a sequence of reconfigurations of a structure—are central to the functionality of various natural and artificial systems. Such pathways execute autonomously in self-guided processes such as protein folding1 and self-assembly2,3,4,5, but have previously required external control to execute in macroscale mechanical systems, provided by, for example, actuators in robotics6,7,8,9 or manual folding in origami8,10,11,12. Here we demonstrate shape-changing, macroscale mechanical metamaterials that undergo self-guided, multi-step reconfiguration in response to global uniform compression. We avoid the need for external control by using metamaterials that are made purely of passive components. The design of the metamaterials combines nonlinear mechanical elements with a multimodal architecture that enables a sequence of topological reconfigurations caused by the formation of internal self-contacts between the elements of the metamaterial. We realize the metamaterials by using computer-controlled water-jet cutting of flexible materials, and show that the multi-step pathway and final configuration can be controlled by rational design of the nonlinear mechanical elements. We also demonstrate that the self-contacts suppress errors in the pathway. Finally, we create hierarchical architectures to extend the number of distinct reconfiguration steps. Our work establishes general principles for designing mechanical pathways, opening up new avenues for self-folding media11,12, pluripotent materials9,13 and pliable devices14 in areas such as stretchable electronics and soft robotics15.
140 citations
TL;DR: The proposed taxonomy can be used as a guide for future research in design and analysis of reconfiguration schemes and is focused on the characterization and classification of reconfigurement techniques.
Abstract: Focuses on the characterization and classification of reconfiguration techniques. The techniques are differentiated according to the type of redundancy (time or hardware), allocation of redundancy (local or global), replacement unit, (processor or a set of processors), switching domain (global or local), and switching implementation (switching element, bus, or network). Typical techniques from four major classes-set switching, processor switching, local redundancy, and time redundancy-are reviewed. The proposed taxonomy can be used as a guide for future research in design and analysis of reconfiguration schemes. >
139 citations
TL;DR: A new method based on a fuzzy mutated genetic algorithm for optimal reconfiguration of radial distribution systems (RDS) is presented, which overcomes the combinatorial nature of the reconfigurations problem and deals with noncontinuous multi-objective optimization.
Abstract: A new method based on a fuzzy mutated genetic algorithm for optimal reconfiguration of radial distribution systems (RDS) is presented. The proposed algorithm overcomes the combinatorial nature of the reconfiguration problem and deals with noncontinuous multi-objective optimization. The attractive features of the algorithm are: preservation of radial property of the network without islanding any load point by an elegant coding scheme and an efficient convergence characteristic attributed to a controlled mutation using fuzzy logic.
139 citations
TL;DR: Based on adaptive backstepping control method, an output-based adaptive neural tracking control strategy is developed for the considered system against actuator fault, which can ensure that all the signals in the resulting closed-loop system are bounded, and the system output signal can be regulated to follow the response of the given reference signal with a small error.
Abstract: This paper studies an output-based adaptive fault-tolerant control problem for nonlinear systems with nonstrict-feedback form. Neural networks are utilized to identify the unknown nonlinear characteristics in the system. An observer and a general fault model are constructed to estimate the unavailable states and describe the fault, respectively. Adaptive parameters are constructed to overcome the difficulties in the design process for nonstrict-feedback systems. Meanwhile, dynamic surface control technique is introduced to avoid the problem of “explosion of complexity”. Furthermore, based on adaptive backstepping control method, an output-based adaptive neural tracking control strategy is developed for the considered system against actuator fault, which can ensure that all the signals in the resulting closed-loop system are bounded, and the system output signal can be regulated to follow the response of the given reference signal with a small error. Finally, the simulation results are provided to validate the effectiveness of the control strategy proposed in this paper.
139 citations