2021 Seventh Indian Control Conference (ICC)最新文献_第3页

Unstructured modeling and RNN Surrogate development for optimizing vaccine production in Baculovirus Expression Vector System 杆状病毒表达载体系统中优化疫苗生产的非结构化建模和RNN代理开发

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703114

Surbhi Sharma, K. N. Pujari, S. Miriyala, L. Giri, K. Mitra

{"title":"Unstructured modeling and RNN Surrogate development for optimizing vaccine production in Baculovirus Expression Vector System","authors":"Surbhi Sharma, K. N. Pujari, S. Miriyala, L. Giri, K. Mitra","doi":"10.1109/ICC54714.2021.9703114","DOIUrl":"https://doi.org/10.1109/ICC54714.2021.9703114","url":null,"abstract":"Process optimization and scale up for biomolecules/vaccine production remain challenging due to the adaptation of experiment-based route which needs a large number of expensive experiments making it more challenging in translating the compound for industrial production. In this context, we propose a framework amalgamating systems biology and artificial intelligence for control and optimization of the protein/vaccine production in a Baculovirus expression system [BEVs]. Experimental investigation is conducted to study the growth of insect cells (Sf-9) when infected with the wild type Baculovirus (AcMNPV). Optimal unstructured model replicating the experimental data on cell and virus growth has been identified using a computation strategy consisting of a hybrid optimization technique. The selected model is then used for large scale data generation with an objective to build AI based RNN model that can be proved extremely helpful to handle numerical stability related issues while performing optimal control of the biological system. This work shows a proof of concept and represents the first instance, where an experimental study, mathematical modeling and AI based techniques have been applied for optimal protein production in recombinant expression system at industry setting.","PeriodicalId":382373,"journal":{"name":"2021 Seventh Indian Control Conference (ICC)","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132219493","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: 1

Nonlinear Spacecraft Attitude Control Design Using Modified Rodrigues Parameters 基于修正Rodrigues参数的非线性航天器姿态控制设计

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703175

Nipen M Khirsaria, S. R. Kumar

引用次数: 0

Scalable Techniques for Autonomous Construction of a Paraboloidal Space Telescope in an Elliptic Orbit 椭圆轨道抛物面空间望远镜自主构建的可扩展技术

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703189

Aaron John Sabu, Dwaipayan Mukherjee

引用次数: 0

Distributed Local Two-Time-Scale Stochastic Approximation 分布式局部双时间尺度随机近似

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703179

T. Doan

引用次数: 0

Motion Planning With Dynamic Obstacles Using Convexified Control Barrier Functions 基于凸化控制障碍函数的动态障碍物运动规划

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703149

Varun V. P., Abraham P. Vinod, Shishir N. Y. Kolathaya

引用次数: 3

Sliding Mode-Based Time-Headway Dynamics for Heavy Road Vehicle Platoon Control 基于滑模的重型道路车辆队列控制时距动力学

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703151

K. B. Devika, S. Subramanian

引用次数: 0

Robust Control of Buck-Boost Converter using Second Order Sliding Modes 基于二阶滑模的Buck-Boost变换器鲁棒控制

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703120

Priyanka A. Patil, S. Kurode, U. Mate

引用次数: 0

Clustering Time Series Sensor Data Using Modified Kohonen Maps 利用改进的Kohonen地图聚类时间序列传感器数据

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703173

Kalpathy Jayanth Krishnan, K. Mitra

{"title":"Clustering Time Series Sensor Data Using Modified Kohonen Maps","authors":"Kalpathy Jayanth Krishnan, K. Mitra","doi":"10.1109/ICC54714.2021.9703173","DOIUrl":"https://doi.org/10.1109/ICC54714.2021.9703173","url":null,"abstract":"With the increase in the usage of sensors to collect data, there has been a large increase in the number of time series data captured via these devices. These are of different varieties of them, ranging from astronomical to meteorological measurements. The ability to cluster these data allows us to not only process and prepare the data for further mining but also develop an important tool in compressing sensor data for better quality and faster communication. In this paper, we introduce a procedure using Kohonen Maps to cluster such data and compare it to the common procedure of Hierarchical clustering for times series instances. There are two modifications done to the conventional Kohonen Maps algorithm -1) The distance measure used is the DTW distance instead of the traditional Euclidean distance and 2) A sampling scheme is introduced which chooses the most diverse elements as the initial cluster representatives. The distance/similarity measure employed to compare them both is the dynamic time warping (DTW) measure, since there is enough literature to show its superior performance over other algorithms. The proposed algorithm was found to be better in terms of both quality of clusters obtained as well as speed when compared to Hierarchical clustering using DTW as a distance measure which is one of the most popular techniques of clustering time series data.","PeriodicalId":382373,"journal":{"name":"2021 Seventh Indian Control Conference (ICC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661168","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: 0

Conditions for Exact Hedging in an Unconstrained Regime-Switching Market Model 无约束制度转换市场模型中精确套期保值的条件

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703166

A. D. Gomes, A. Heunis

{"title":"Conditions for Exact Hedging in an Unconstrained Regime-Switching Market Model","authors":"A. D. Gomes, A. Heunis","doi":"10.1109/ICC54714.2021.9703166","DOIUrl":"https://doi.org/10.1109/ICC54714.2021.9703166","url":null,"abstract":"In an earlier contribution “Unconstrained hedging within a regime-switching market model” (Sixth Indian Control Conference, Hyderabad, December 18-20, 2019) the authors address the problem of unconstrained hedging in a financial market model which includes regime-switching, in the sense that the basic sources of randomness in the market model are a standard multidimensional Brownian motion, together with an independent finite-state Markov chain (the latter process models so-called regime-switches, which are occasional “large-scale” random changes in the market parameters, as opposed to the persistent “small-scale” changes in the market parameters which are driven by the Brownian motion). Under these conditions the market model is “incomplete”, and the best that one can do is establish existence of a least initial wealth along with an investment strategy for which the corresponding wealth process almost-surely majorizes - but generally does not equal - the contingent claim at close of trade (in this case the claim is said to be “super-hedged”). The goal of the present work is to complement this result and introduce natural conditions on the regime- switching model under which there exists a least initial wealth and an investment strategy such that the corresponding wealth almost-surely equals the contingent claim at close of trade (so that the claim is “exactly hedged”). Our motivation is primarily in the works of Cvitanic and Karatzas (1993) and El Karoui and Quenez (1995) who address the case where incompleteness in the market model arises from portfolio constraints rather than regime-switching.","PeriodicalId":382373,"journal":{"name":"2021 Seventh Indian Control Conference (ICC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408719","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: 0

Disturbance Observer Based Sliding Mode Control for Lateral Motion of an AUV 基于扰动观测器的AUV横向运动滑模控制

2021 Seventh Indian Control Conference (ICC) Pub Date : 2021-12-20 DOI: 10.1109/ICC54714.2021.9703168

Ravishankar P. Desai, N. Manjarekar

引用次数: 0