Proceedings of the ... American Control Conference. American Control Conference最新文献_第4页

Student Programs 学生项目

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-04-24 DOI: 10.1644/1545-1542-90.5.1274

引用次数: 0

Synthesis of Minimum-Cost Shields for Multi-agent Systems. 多代理系统最低成本屏蔽的合成。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-01-01 Epub Date: 2019-08-29 DOI: 10.23919/acc.2019.8815233

Suda Bharadwaj, Roderik Bloem, Rayna Dimitrova, Bettina Könighofer, Ufuk Topcu

引用次数: 0

Bistability Requires Better Balanced Toggle Switches in the Presence of Competition for Shared Cellular Resources 双稳定性要求在共享蜂窝资源竞争中更好地平衡拨动开关

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-01-01 DOI: 10.23919/ACC.2019.8815350

A. György

引用次数: 0

Robust H∞ Observer-Based Stabilization of Linear Discrete-Time Systems with Parameter Uncertaintes 参数不确定线性离散系统的鲁棒H∞观测器镇定

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 DOI: 10.23919/ACC.2018.8431745

C. Bennani, F. Bedouhene, A. Zemouche, H. Bibi, K. C. Draa, A. Aitouche, R. Rajamani

引用次数: 3

Learning-based Approaches for Controlling Neural Spiking. 基于学习的神经尖峰控制方法

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 Epub Date: 2018-08-16 DOI: 10.23919/acc.2018.8431158

Sensen Liu, Noah M Sock, ShiNung Ching

{"title":"Learning-based Approaches for Controlling Neural Spiking.","authors":"Sensen Liu, Noah M Sock, ShiNung Ching","doi":"10.23919/acc.2018.8431158","DOIUrl":"10.23919/acc.2018.8431158","url":null,"abstract":"We consider the problem of controlling populations of interconnected neurons using extrinsic stimulation. Such a problem, which is relevant to applications in both basic neuroscience as well as brain medicine, is challenging due to the nonlinearity of neuronal dynamics and the highly unpredictable structure of underlying neuronal networks. Compounding this difficulty is the fact that most neurostimulation technologies offer a single degree of freedom to actuate tens to hundreds of interconnected neurons. To meet these challenges, here we consider an adaptive, learning-based approach to controlling neural spike trains. Rather than explicitly modeling neural dynamics and designing optimal controls, we instead synthesize a so-called control network (CONET) that interacts with the spiking network by maximizing the Shannon mutual information between it and the realized spiking outputs. Thus, the CONET learns a representation of the spiking network that subsequently allows it to learn suitable control signals through a reinforcement-type mechanism. We demonstrate feasibility of the approach by controlling networks of stochastic spiking neurons, wherein desired patterns are induced for neuron-to-actuator ratios in excess of 10 to 1.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046338/pdf/nihms-1056743.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38877182","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

Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots. 基于广义能量存储函数的双足机器人鲁棒行走无源控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 Epub Date: 2018-08-16 DOI: 10.23919/ACC.2018.8431783

Mark R Yeatman, Ge Lv, Robert D Gregg

引用次数: 3

Welcome to the ACC2018 欢迎来到ACC2018

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 DOI: 10.23919/ACC.2018.8430816

R. Braatz, J. Berg, Zongli Lin, F. Allgöwer

引用次数: 0

Experiment Design for Early Molecular Events in HIV Infection. HIV感染早期分子事件的实验设计

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2017-05-01 Epub Date: 2017-07-03 DOI: 10.23919/ACC.2017.7962941

Aditya Jagarapu, LaMont Cannon, Ryan Zurakowski

{"title":"Experiment Design for Early Molecular Events in HIV Infection.","authors":"Aditya Jagarapu, LaMont Cannon, Ryan Zurakowski","doi":"10.23919/ACC.2017.7962941","DOIUrl":"https://doi.org/10.23919/ACC.2017.7962941","url":null,"abstract":"The recent introduction of integrase inhibitors to the HIV antiviral repertoire permits us to create in vitro experiments that reliably terminate HIV infection at the point of chromosomal integration. This allows us to isolate the dynamics of a single round of infection, without needing to account for the influence of multiple overlapping rounds of infection. By measuring the various nucleic acid concentrations in a population of infected target cells at multiple time points, we can infer the rates of these molecular events with great accuracy, which allows us to compare the rates between target cells with different functional phenotypes. This information will help in understanding the behavior of the various populations of reservoir cells such as active and quiescent T-cells which maintain HIV infection in treated patients. In this paper, we introduce a family of models of the early molecular events in HIV infection, with either linear dynamics or age-structured delays at each step. We introduce an experimental design metric based on the delta AIC (Akaike Information Criteria) between a model fit for simulated data from a matching model vs a mismatched model, which allows us to determine a candidate experiment design's ability to discriminate between models. Using parameters values drawn from experimentally-derived priors corrupted with appropriate measurement noise, we confirm that a proposed sampling schedule at different time points allows us to consistently discriminate between candidate models.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2017 ","pages":"122-127"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/ACC.2017.7962941","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35735699","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: 1

Soft sensor based estimation of process parameters and states with Hybridized Grey Wolf Optimizer 基于软测量的过程参数和状态估计与灰太狼杂交优化

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2017-05-01 DOI: 10.23919/ACC.2017.7963228

S. Sankaranarayanan, N. Sivakumaran, G. Swaminathan, T. Radhakrishnan

{"title":"Soft sensor based estimation of process parameters and states with Hybridized Grey Wolf Optimizer","authors":"S. Sankaranarayanan, N. Sivakumaran, G. Swaminathan, T. Radhakrishnan","doi":"10.23919/ACC.2017.7963228","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963228","url":null,"abstract":"Metaheuristics based global optimization technique is one among the state of art in soft sensing applications. The metaheuristic based soft sensor is capable of coping with the stochasticity of the process and as well as the corresponding nonlinearities in the dynamics. In this work, a multi-objective based parameter estimation and soft-sensing of unknown states are carried out for a modified version of Quadruple Tank Process (QTP). The effect of the outlet valve over the dynamics of the process is briefly investigated to emphasize the implication of these parameters in the process. The unknown parameters and unobserved states of the QTP are estimated through a Hybridized Grey Wolf Optimization (HGWO). The HGWO is a metaheuristic based optimization, hybridized with static Kalman Bucy (KB) algorithm. The hybridization is carried out to improve the convergence rate of the existing algorithm in terms of ideal computational cycle and proximity towards the global solution. Performance of the proposed HGWO is compared along with the conventional GWO algorithm. The estimation is executed for QTP operating in Non-Minimum Phase (NMP) mode and the simulated results proves the proposed HGWO based soft sensor provides a better result compared to the GWO algorithm.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"48 1","pages":"1892-1897"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81551972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Climate control in greenhouse using intelligent control algorithms 基于智能控制算法的温室气候控制

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2017-05-01 DOI: 10.23919/ACC.2017.7963065

Revathi Soundiran, T. Radhakrishnan, Sivakumaran Natarajan

{"title":"Climate control in greenhouse using intelligent control algorithms","authors":"Revathi Soundiran, T. Radhakrishnan, Sivakumaran Natarajan","doi":"10.23919/ACC.2017.7963065","DOIUrl":"https://doi.org/10.23919/ACC.2017.7963065","url":null,"abstract":"Greenhouse climate control problem has received considerable attention in agriculture engineering research. The greater part of accomplishing ensured farming within the greenhouse environment is achieved by controlling the temperature and relative humidity. As the result of process dead times and extreme interdependence of these parameters, the control problem is classified to be non-linear and multivariable. With the advances in intelligent control systems, more and more decisions involved in greenhouse control can be automated. Thus, more emphasis can be placed on emulating the abilities of the expert operator. In this paper, intelligent and non-intelligent control techniques for addressing the problem of automated climate control in a greenhouse are investigated. These include proportional-integral-derivative (PID) and Linear-Quadratic regulator (LQR) as a ‘non-intelligent’ technique and fuzzy PID and fuzzy immune PID as ‘intelligent’ technique. The new study is made for implementing the nonlinear fuzzy immune PID controller for greenhouse climate control. This controller has a simple structure and its parameters can be conveniently adjusted. It consists of a PID controller and a basic immune proportional controller in cascaded connection, the nonlinear function of the immune proportional controller is realized using fuzzy reasoning. Thus, controller parameters are adjusted online by the rules of immune feedback controller and fuzzy controller. The simulation results are compared for the effectiveness and applicability to greenhouse environmental problem.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"43 10 1","pages":"887-892"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82862232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15