Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control最新文献

Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control. 基于对偶反馈控制的资源耦合多模块基因电路降噪。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2024-12-01 DOI: 10.1109/cdc56724.2024.10886586

Suchana Chakravarty, Rong Zhang, Xiao-Jun Tian

引用次数: 0

Sequential design of single-cell experiments to identify discrete stochastic models for gene expression. 单细胞实验的顺序设计，以确定基因表达的离散随机模型。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2024-12-01 DOI: 10.1109/CDC56724.2024.10886397

Joshua Cook, Eric Ron, Dmitri Svetlov, Luis U Aguilera, Brian Munsky

{"title":"Sequential design of single-cell experiments to identify discrete stochastic models for gene expression.","authors":"Joshua Cook, Eric Ron, Dmitri Svetlov, Luis U Aguilera, Brian Munsky","doi":"10.1109/CDC56724.2024.10886397","DOIUrl":"10.1109/CDC56724.2024.10886397","url":null,"abstract":"Control of gene regulation requires quantitatively accurate predictions of heterogeneous cellular responses. When inferred from single-cell experiments, discrete stochastic models can enable such predictions, but such experiments are highly adjustable, allowing for almost infinitely many potential designs (e.g., at different induction levels, for different measurement times, or considering different observed biological species). Not all experiments are equally informative, experiments are time-consuming or expensive to perform, and research begins with limited prior information with which to construct models. To address these concerns, we developed a sequential experiment design strategy that starts with simple preliminary experiments and then integrates chemical master equations to compute the likelihood of single-cell data, a Bayesian inference procedure to sample posterior parameter distributions, and a finite state projection based Fisher information matrix to estimate the expected information for different designs for subsequent experiments. Using simulated then real single-cell data, we determined practical working principles to reduce the overall number of experiments needed to achieve predictive, quantitative understanding of single-cell responses.","PeriodicalId":74517,"journal":{"name":"Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control","volume":"2024 ","pages":"7778-7785"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239736/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing. 利用表面热成像传感进行三维电外科过程内域温度估算的无穷维自适应边界观测器

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2022-12-01 Epub Date: 2023-01-10 DOI: 10.1109/cdc51059.2022.9992642

Hamza El-Kebir, Junren Ran, Martin Ostoja-Starzewski, Richard Berlin, Joseph Bentsman, Leonardo P Chamorro

{"title":"Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing.","authors":"Hamza El-Kebir, Junren Ran, Martin Ostoja-Starzewski, Richard Berlin, Joseph Bentsman, Leonardo P Chamorro","doi":"10.1109/cdc51059.2022.9992642","DOIUrl":"10.1109/cdc51059.2022.9992642","url":null,"abstract":"We present a novel 3D adaptive observer framework for use in the determination of subsurface organic tissue temperatures in electrosurgery. The observer structure leverages pointwise 2D surface temperature readings obtained from a real-time infrared thermographer for both parameter estimation and temperature field observation. We introduce a novel approach to decoupled parameter adaptation and estimation, wherein the parameter estimation can run in real-time, while the observer loop runs on a slower time scale. To achieve this, we introduce a novel parameter estimation method known as attention-based noise-robust averaging, in which surface thermography time series are used to directly estimate the tissue's diffusivity. Our observer contains a real-time parameter adaptation component based on this diffusivity adaptation law, as well as a Luenberger-type corrector based on the sensed surface temperature. In this work, we also present a novel model structure adapted to the setting of robotic surgery, wherein we model the electrosurgical heat distribution as a compactly supported magnitude- and velocity-controlled heat source involving a new nonlinear input mapping. We demonstrate satisfactory performance of the adaptive observer in simulation, using real-life experimental ex vivo porcine tissue data.","PeriodicalId":74517,"journal":{"name":"Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control","volume":"2022 ","pages":"5437-5442"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914484/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10716277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Synthesizing network dynamics for short-term memory of impulsive inputs. 脉冲输入短时记忆的网络动力学综合。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2022-12-01 DOI: 10.1109/cdc51059.2022.9993238

BethAnna Jones, ShiNung Ching

{"title":"Synthesizing network dynamics for short-term memory of impulsive inputs.","authors":"BethAnna Jones, ShiNung Ching","doi":"10.1109/cdc51059.2022.9993238","DOIUrl":"https://doi.org/10.1109/cdc51059.2022.9993238","url":null,"abstract":"Illuminating the mechanisms that the brain uses to manage and coordinate its resources is a core question in neuroscience. In particular, circuits and networks in the brain are able to encode, store and recall large amounts of information, in the service of a wide range of functionality. How do the various dynamical mechanisms within these networks allow for such coordination? We consider the specific problem of how the dynamics of networks can enact a representation of input stimuli that is retained over time, i.e., a form of short-term memory. We utilize modeling and control-theoretic methods to approach these questions, treating the state trajectory of a dynamical system as an abstract memory trace of prior inputs. The inputs impinge on the network via a variable gain, which is to be synthesized by optimization. In order to perpetuate these memory traces of stimuli, we propose that this gain is adapted to optimize: i) the error between a ground truth representation of stimuli and the encoding of them; as well as ii) overwriting of prior information. Optimizing over these central tenets of memory, we obtain a 'policy' for adapting the input gain that is dependent on the state of the network. This derived policy yields a recurrent neural network between the policy and the neural circuits, affirming existing theories that the prefrontal cortex may hold subnetworks dedicated to working memory while actively engaging with other neural subnetworks.","PeriodicalId":74517,"journal":{"name":"Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control","volume":"2022 ","pages":"6836-6841"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162585/pdf/nihms-1836803.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9439662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity. 基于卡尔曼滤波器的混合逻辑动态系统混合模型预测控制算法：应用于体育活动的优化干预。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2022-12-01 Epub Date: 2023-01-10 DOI: 10.1109/cdc51059.2022.9992932

Owais Khan, Mohamed El Mistiri, Daniel E Rivera, César A Martin, Eric Hekler

{"title":"A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity.","authors":"Owais Khan, Mohamed El Mistiri, Daniel E Rivera, César A Martin, Eric Hekler","doi":"10.1109/cdc51059.2022.9992932","DOIUrl":"10.1109/cdc51059.2022.9992932","url":null,"abstract":"Hybrid Model Predictive Control (HMPC) is presented as a decision-making tool for novel behavioral interventions to increase physical activity in sedentary adults, such as Just Walk. A broad-based HMPC formulation for mixed logical dynamical (MLD) systems relevant to problems in behavioral medicine is developed and illustrated on a representative participant model arising from the Just Walk study. The MLD model is developed based on the requirement of granting points for meeting daily step goals and categorical input variables. The algorithm features three degrees-of-freedom tuning for setpoint tracking, measured and unmeasured disturbance rejection that facilitates controller robustness; disturbance anticipation further improves performance for upcoming events such as weekends and weather forecasts. To avoid the corresponding mixed-integer quadratic problem (MIQP) from becoming infeasible, slack variables are introduced in the objective function. Simulation results indicate that the proposed HMPC scheme effectively manages hybrid dynamics, setpoint tracking, disturbance rejection, and the transition between the two phases of the intervention (initiation and maintenance) and is suitable for evaluation in clinical trials.","PeriodicalId":74517,"journal":{"name":"Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control","volume":"2022 ","pages":"2586-2593"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018791/pdf/nihms-1859977.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9163076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impulsive Neural Control to Schedule Antivirals and Immunomodulators for COVID-19. 为 COVID-19 安排抗病毒药物和免疫调节剂的脉冲神经控制。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2022-12-01 Epub Date: 2023-01-10 DOI: 10.1109/cdc51059.2022.9992454

Gustavo Hernandez-Mejia, Edgar N Sánchez, Victor M Chan, E A Hernandez-Vargas

引用次数: 0

Analysis of an Extremum Seeking Controller Under Bounded Disturbance. 一类有界扰动下极值寻优控制器的分析。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2021-12-01 DOI: 10.1109/cdc45484.2021.9682813

Samuel C Pinto, Sean B Andersson

引用次数: 0

A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding. 受昆虫神经编码启发，利用未校准传感器进行环境风估计的非线性可观测性分析。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2021-12-01 Epub Date: 2022-02-01 DOI: 10.1109/cdc45484.2021.9683219

Floris van Breugel

{"title":"A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural Encoding.","authors":"Floris van Breugel","doi":"10.1109/cdc45484.2021.9683219","DOIUrl":"https://doi.org/10.1109/cdc45484.2021.9683219","url":null,"abstract":"Estimating the direction of ambient fluid flow is key for many flying or swimming animals and robots, but can only be accomplished through indirect measurements and active control. Recent work with tethered flying insects indicates that their sensory representation of orientation, apparent wind, direction of movement, and control is represented by a 2-dimensional angular encoding in the central brain. This representation simplifies sensory integration by projecting the direction (but not scale) of measurements with different units onto a universal polar coordinate frame. To align these angular measurements with one another and the motor system does, however, require a calibration of angular gain and offset for each sensor. This calibration could change with time due to changes in the environment or physical structure. The circumstances under which small robots and animals with angular sensors and changing calibrations could self-calibrate and estimate the direction of ambient fluid flow while moving remains an open question. Here, a methodical nonlinear observability analysis is presented to address this. The analysis shows that it is mathematically feasible to continuously estimate flow direction and perform self-calibrations by adopting frequent changes in course (or active prevention thereof) and orientation, and requires fusion and temporal differentiation of three sensory measurements: apparent flow, orientation (or its derivative), and direction of motion (or its derivative). These conclusions are consistent with the zigzagging trajectories exhibited by many plume tracking organisms, suggesting that perhaps flow estimation is a secondary driver of their trajectory structure.","PeriodicalId":74517,"journal":{"name":"Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control","volume":"2021 ","pages":"1399-1406"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545229/pdf/nihms-1932431.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41159916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Guaranteed Reachability for Systems with Unknown Dynamics. 未知动力学系统的保证可达性

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2021-01-11 DOI: 10.1109/cdc42340.2020.9304326

Melkior Ornik

引用次数: 0

Explorative Probabilistic Planning with Unknown Target Locations. 未知目标位置的探索性概率规划。

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control Pub Date : 2021-01-11 DOI: 10.1109/cdc42340.2020.9304481

Farhad Nawaz, Melkior Ornik

引用次数: 0