Quantitative feedback control for multivariable model matching and disturbance rejection
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.3563
Abstract: Summary This article extends two recent contributions in the field of quantitative feedback theory to the multivariable case. They concern the model matching and the measured disturbance rejection problems. The model matching problem is a… read more here.
Keywords: control; quantitative feedback; disturbance rejection; model matching ... See more keywords
Static corrective control with model matching indicator and its application to payload data managers
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DOI: 10.1049/iet-cta.2019.1248
Abstract: Having no internal states, static corrective controllers are advantageous over dynamic ones in terms of resource usage, albeit requiring stricter existence conditions. This study presents a novel static corrective control strategy that solves the model… read more here.
Keywords: corrective control; matching indicator; payload data; model matching ... See more keywords
Model-matching methods and distributed control of networks consisting of a class of heterogeneous dynamic agents
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DOI: 10.1080/00207179.2021.1893822
Abstract: Many recent results on distributed control of multi-agent networks rely on a number of simplifying assumptions that facilitate the solution of regulation problems associated with large-scale networ... read more here.
Keywords: matching methods; control networks; control; model matching ... See more keywords
A Process Model Collection and Gold Standard Correspondences for Process Model Matching
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DOI: 10.1109/access.2019.2900174
Abstract: Business process models are the conceptual models to depict the workflow of an organization. Process model matching (PMM) refers to the automatic identification of corresponding activities between a pair of process models that show similar… read more here.
Keywords: collection; process; model matching; process models ... See more keywords
Deep Analysis of Process Model Matching Techniques
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DOI: 10.1109/access.2020.2997097
Abstract: Process Model Matching (PMM) aims to automatically identify corresponding activities from two process models that exhibit similar behaviors. Recognizing the diverse applications of process model matching, several techniques have been proposed in the literature. Typically,… read more here.
Keywords: process; matching techniques; model matching; process model ... See more keywords
Adaptive Neural Model Matching Control for Uncertain Immune Systems via H∞ Approaches
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DOI: 10.1109/access.2022.3160835
Abstract: The problem of the robust neural network-based model matching control is considered for a large class of uncertain immune systems. In order to achieve the purpose of therapeutic enhancement, it is essential to deal simultaneously… read more here.
Keywords: immune systems; matching control; control; model matching ... See more keywords
Riemannian Optimal Control and Model Matching of Linear Port-Hamiltonian Systems
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DOI: 10.1109/tac.2017.2712905
Abstract: This paper presents a unified controller design method for $H^2$ optimal control and model matching problems of linear port-Hamiltonian systems. The controller design problems are formulated as optimization problems on the product manifold of the… read more here.
Keywords: control; model matching; port hamiltonian; linear port ... See more keywords
The Model Matching Problem for Max-Plus Linear Systems: A Geometric Approach
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DOI: 10.1109/tac.2022.3191362
Abstract: Linear systems over the max-plus algebra provide a suitable formalism to model discrete-event systems where synchronization, without competition, is involved. In this article, we consider a formulation of the model matching problem for systems of… read more here.
Keywords: model; model matching; linear systems; max plus ... See more keywords
Rendering Stiff Virtual Walls Using Model Matching Based Haptic Controller
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Haptics"
DOI: 10.1109/toh.2019.2893926
Abstract: This paper presents a model matching framework for design of haptic controllers. The controller design problem is formulated as a sequence of ${H_{\infty }}$ optimization problems in order to achieve maximal transparency bandwidth. This enables… read more here.
Keywords: stiff virtual; virtual walls; weighting functions; controller ... See more keywords