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Insulet Acquires Assets of Automated Glucose Control LLC (AGC)

Insulet Acquires Assets of Automated Glucose Control LLC (AGC)
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Harvard University , United States , Palo Alto , Thomas Peyser , Frank Doyle , Francisj Doyle , Jennifer Schneider , Eric Benjamin , Santa Barbara , Deborahr Gordon , Angela Geryak Wiczek , University Of California , International Board , Exchange Commission On , University Of California Santa Barbara , Department Of Chemical Engineering , Insulet Corporation , Exchange Commission , Sciences At Harvard University , Corporate Communications , Automated Glucose Control , Wall Street , Insulin Delivery , Executive Vice President , California Santa Barbara , Omnipod Insulin Management System ,

MATLAB and Simulink Release 2022b Delivers New Simscape Battery and Updates that Simplify and Automate Model-Based Design

Platform Releases Also Include a New Medical Imaging Toolbox that Delivers End-to-End Medical Image Analysis Workflow. ....

United States , Graham Dudgeon , Platform Releases Also Include , New Medical Imaging Toolbox , Model Based Design , Energy Finance , Simscape Battery , Principal Product Manager , Electrical Systems Modeling , Battery Pack Model Builder , Medical Imaging Toolbox , Logic Toolbox , Fuzzy Logic Designer , High Level Synthesis , Predictive Control Toolbox , Identification Toolbox , Application Software , Cross Platform Software , Financial Services , Medical Imaging , Array Programming Languages , Mathematical Software , Model Predictive Control , Numerical Software , Programming Languages , Simulation Software ,

IIT Guwahati Researchers Develop Optimization-Based Voltage Control For Power Generation

The focal point of this research is to increase the usage of solar energy for charging electric vehicles by using a coordinated control of the power distribution system. ....

Chandan Kumar , Arunima Dutta , Sanjib Ganguly , Sustainable Energy , Department Of Electronics , Indian Institute Of Technology , Indian Institute , Associate Professor , Electrical Engineering , Model Predictive Control , Voltage Regulating Devices ,

"Dual-Objective MPC of Community Energy Storage in LV Distribution Feed" by Obaidur Ralunan, Duane A. Robinson et al.

The technical challenges of large-scale integration of rooftop solar PV systems is a major concern for distribution network service providers (DNSPs) due to bidirectional power flow and voltage regulation issues. Energy storage devices have the potential to mitigate these adverse effects by storing excess energy during the day and providing peak shaving support at peak load. This paper presents a two-level dual-objective model predictive control (MPC) based algorithm to control DNSP owned community energy storage devices in LV residential distribution feeders. The proposed control method considers the feed-in tariff, spot price of energy and storage system operational costs. Both the economics ofthe system and voltage regulation are addressed. The individual modes of operation are activated by a high-level controller and a low-level controller provides the optimized charging/discharging rates according to the predefined objective cost functions. A case study 300m 4-wire LV feeder from ....

Community Energy Storage , Lv Distribution , Model Predictive Control , Oltage Rise ,

"Charging RF-Energy Harvesting Devices in IoT Networks with Imperfect C" by Hang Yu, Kwan Wu Chin et al.

This paper considers energy delivery by a Hybrid Access Point (HAP) to one or more Radio Frequency (RF)-energy harvesting devices. Unlike prior works, it considers imperfect and causal Channel State Information (CSI), and probabilistic constraints that ensure devices receive their required amount of energy over a given planning horizon. To this end, it outlines two novel contributions. The first is a chance-constrained program, which is then solved using a Mixed Integer Linear Program (MILP) coupled with a Sample Average Approximation (SAA) method. The second is a Model Predictive Control (MPC) solution that utilizes Gaussian Mixture Model (GMM) and a so called backoff that is used to tighten probabilistic constraints. The results show that the performance of the MPC based solution is within 8% of the optimal solution with a probability of 90.8%. ....

Integer Linear Program , Hybrid Access Point , Radio Frequency , Channel State Information , Mixed Integer Linear Program , Sample Average Approximation , Model Predictive Control , Gaussian Mixture Model , Internet Of Things , Power System Reliability , Robabilistic Logic , Eceding Horizon , Resource Management , Stochastic Optimization , Task Analysis , Wireless Charging ,