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Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes [article]

Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
2019 arXiv   pre-print
This problem may be posed as a stochastic optimal control problem, a solution to which is fundamentally intractable owing to the infamous "curse of dimensionality".  ...  the open-loop, and which was shown to be near-optimal to second order in terms of a "small noise" parameter, to a much wider range of noise levels.  ...  The primary focus is on understanding the performance across a wide range of noise conditions. A.  ... 
arXiv:1909.08585v1 fatcat:3teb2wgtyzhmbkzapzsnvrlnoi

Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report) [article]

Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
2020 arXiv   pre-print
This problem may be posed as a stochastic optimal control problem, complete solution to which is fundamentally intractable owing to the infamous curse of dimensionality.  ...  We examine a much wider range of noise levels than have been previously reported and empirical evidence suggests that the decoupling method allows for tractable planning over a wide range of uncertainty  ...  there is a highly significant increase in planning efficiency over a wide range of noise levels.  ... 
arXiv:2002.10505v3 fatcat:aplkgkq2ejddbgksi5ichaakti

A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions [article]

Imtiaz Parvez, Ali Rahmati, Ismail Guvenc, Arif I. Sarwat, Huaiyu Dai
2018 arXiv   pre-print
In this paper, we present a detailed survey on the emerging technologies to achieve low latency communications considering three different solution domains: RAN, core network, and caching.  ...  We also present a general overview of 5G cellular networks composed of software defined network (SDN), network function virtualization (NFV), caching, and mobile edge computing (MEC) capable of meeting  ...  Then, the problem is formulated as a stochastic optimization problem and solved using Markov decision process (MDP) to obtain the optimal solution.  ... 
arXiv:1708.02562v2 fatcat:byyszpxcu5ew5pqlvq672tf5oa

Dynamical Diagnosis and Solutions for Resilient Natural and Social Systems [article]

Tatyana Kovalenko, Didier Sornette
2012 arXiv   pre-print
We emphasize the need for characterizing the goals of a given system, from which the process of resilience build-up can be defined.  ...  The main ingredients towards resilience include (1) the need for continuous multi-variable measurement and diagnosis of endogenous instabilities, (2) diversification and heterogeneity, (3) decoupling,  ...  Consider first other types of homeostasis control processes in which the target variables are kept in a narrow optimal range with small fluctuations.  ... 
arXiv:1211.1949v1 fatcat:xlt5q577jja73gn7ekudi2btqa

Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning [article]

Jake Bouvrie, Mauro Maggioni
2012 arXiv   pre-print
A second fundamental aspect of this work is that these multiscale decompositions yield new transfer opportunities across different problems, where solutions of sub-tasks at different levels of the hierarchy  ...  Many problems in sequential decision making and stochastic control often have natural multiscale structure: sub-tasks are assembled together to accomplish complex goals.  ...  The authors also gratefully acknowledge helpful discussions with, and suggestions from, Sridhar Mahadevan.  ... 
arXiv:1212.1143v1 fatcat:2mzzhpucmvcdnmu5c27afnplwq

User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions [article]

Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
2021 arXiv   pre-print
Such networks use a dense deployment of distributed units (DUs) to serve users; the crucial difference from the traditional cellular paradigm is that a specific serving cluster of DUs is defined for each  ...  We present here a guide to the key challenges facing the deployment of this network scheme and contemplate the solutions being proposed for the main bottlenecks facing cell-free communications.  ...  Nonetheless, these connections are not a scalable solution for a wide deployment unless an efficient wired solution is applied; in this case, the DUs would be connected through a wired bus network, so  ... 
arXiv:2104.14589v2 fatcat:z7janupib5cytnedsnst4f6uua

Experimental Quantum Computation with Nuclear Spins in Liquid Solution [article]

Lieven M.K. Vandersypen
2002 arXiv   pre-print
computing in a series of experiments which culminated in the implementation of the simplest instance of Shor's quantum algorithm for prime factorization (15=3x5), using a seven-spin molecule.  ...  These remarkable successes have been made possible by the synthesis of suitable molecules and the development of many novel techniques for initialization, coherent control and readout of the state of multiple  ...  For all the other experiments, we have used a tripple resonance HFX probe made by Nalorac (X means that the low band coil is tunable over a wide range).  ... 
arXiv:quant-ph/0205193v1 fatcat:6vyyqvastvb7jdrslyxxkr33na

Scaling and predicting solute transport processes in streams

Ricardo González-Pinzón, Roy Haggerty, Marco Dentz
2013 Water Resources Research  
This shows that current theory is inconsistent with experimental data and suggests that a revised theory of solute transport is needed.  ...  1] We investigated scaling of conservative solute transport using temporal moment analysis of 98 tracer experiments (384 breakthrough curves) conducted in 44 streams located on five continents.  ...  We thank the Associate Editor, Olaf Cirpka, Adam Wlostowski, and an anonymous reviewer for providing insightful comments that helped to improve this manuscript.  ... 
doi:10.1002/wrcr.20280 fatcat:2gk224tqvve27i73bst5dvba7q

Nonlinear System Identification: A User-Oriented Roadmap [article]

Johan Schoukens, Lennart Ljung
2019 arXiv   pre-print
Firstly, nonlinear system identification is introduced to a wide audience, guiding practicing engineers and newcomers in the field to a sound solution of their data driven modeling problems for nonlinear  ...  Here the focus is on the basic philosophy, giving an intuitive understanding of the problems and the solutions, by making a guided tour along the wide range of user choices in nonlinear system identification  ...  Bode Lecture Prize from the IEEE Control Systems Society, and he was the 2007 recipient of the IEEE Control Systems Award.  ... 
arXiv:1902.00683v1 fatcat:r6jwxklmyjdsfged6zflewsxki

Comparison of the solutions of the elastic and elastoplastic boundary value problems

Holger Lang, Klaus Dressler, René Pinnau, Michael Speckert
2009 Zeitschrift für Angewandte Mathematik und Physik  
To this end, we use the stop and play operators of nonlinear functional analysis. Further, we give an explicit example of a homotopy between the solutions of both problems.  ...  kinematic hardening law for the plastic regime in the latter problem.  ...  Thanks to the Deutsche Forschungsgemeinschaft, the Graduiertenkolleg Mathematik und Praxis (TU Kaiserslautern) for the financial support, the Fraunhofer Gesellschaft for technical support, professors Martin  ... 
doi:10.1007/s00033-009-0042-y fatcat:z7y3ihyzzzasdd4geqqyqwdwvi

Software tools for quantum control: Improving quantum computer performance through noise and error suppression [article]

Harrison Ball, Michael J. Biercuk, Andre Carvalho, Jiayin Chen, Michael Hush, Leonardo A. De Castro, Li Li, Per J. Liebermann, and Harry J. Slatyer, Claire Edmunds, Virginia Frey, Cornelius Hempel (+1 others)
2020 arXiv   pre-print
We provide an overview of a set of python-based classical software tools for creating and deploying optimized quantum control solutions at various layers of the quantum computing software stack.  ...  Our presentation includes a detailed mathematical overview of central product features including a flexible optimization toolkit, filter functions for analyzing noise susceptibility in high-dimensional  ...  These simple examples demonstrate the flexibility and value of the optimizer engine across a wide range of tasks.  ... 
arXiv:2001.04060v2 fatcat:7x5olheg3bfovhqcosyyuicgpi

User Association in 5G Networks: A Survey and an Outlook

Dantong Liu, Lifeng Wang, Yue Chen, Maged Elkashlan, Kai-Kit Wong, Robert Schober, Lajos Hanzo
2016 IEEE Communications Surveys and Tutorials  
User association plays a pivotal role in enhancing the load balancing, the spectrum efficiency and the energy efficiency of networks.  ...  Finally, we summarize the challenges as well as opportunities of user association in 5G and provide design guidelines and potential solutions for sophisticated user association mechanisms.  ...  solution under the guarantee of not exceeding a certain maximum discrepancy from optimality.  ... 
doi:10.1109/comst.2016.2516538 fatcat:hj7a3bupxfhi5gz6pvh7qfz43m

Opportunities and Challenges of Backbone, Sidechain, and RDC Experiments to Study Membrane Protein Dynamics in a Detergent-Free Lipid Environment Using Solution State NMR

Stefan Bibow
2019 Frontiers in Molecular Biosciences  
Favorably sized lipid-bilayer nanodiscs, established membrane protein reconstitution protocols and sophisticated solution NMR relaxation methods probing dynamics over a wide range of timescales will eventually  ...  In particular, methyl group dynamics resulting from CEST, CPMG, ZZ exchange, and RDC experiments are expected to provide new and surprising insights due to their proximity to lipids, their applicability  ...  In contrast, MPs in detergent-free nanodiscs are fully embedded in a lipid environment, reasonably-sized for solution NMR, monodisperse, highly reproducible and suitable for a wide range of biophysical  ... 
doi:10.3389/fmolb.2019.00103 pmid:31709261 pmcid:PMC6823230 fatcat:6utgwebmmjalxkosw2ivpzqoji

Probing the Limits to MicroRNA-Mediated Control of Gene Expression

Araks Martirosyan, Matteo Figliuzzi, Enzo Marinari, Andrea De Martino, Edwin Wang
2016 PLoS Computational Biology  
for a variety of biological processes.  ...  These observations establish the limits of miRNA-mediated post-transcriptional cross-talk and suggest that, besides providing a degree of noise buffering, this type of control may be effectively employed  ...  The problem however arises of quantifying the degree of control that can be exerted through miRNAs.  ... 
doi:10.1371/journal.pcbi.1004715 pmid:26812364 pmcid:PMC4727922 fatcat:vmcpww4kmjau5lper73pruy5ee

Normalization of Neural Networks using Analytic Variance Propagation [article]

Alexander Shekhovtsov, Boris Flach
2018 arXiv   pre-print
We address the problem of estimating statistics of hidden units in a neural network using a method of analytic moment propagation.  ...  However, the method does not share the generalization properties of BN, to which our experiments give some additional insight.  ...  Acknowledgment We thank Tomas Werner and Dmytro Mishkin for discussions and reviewers for their feedback. A.  ... 
arXiv:1803.10560v1 fatcat:v3crem7vnzf3tglcoeear7uvea
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