Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Ravi, Gondhalekar"'
Publikováno v:
Journal of Guidance, Control, and Dynamics. 46:6-20
Autonomous spacecraft must be robust toward uncertainty and disturbances in the system while achieving required levels of performance. As an example, robotic servicing spacecraft must intercept target objects with potentially unknown dynamic properti
Autonomous Six-Degree-of-Freedom Spacecraft Docking with Rotating Targets via Reinforcement Learning
Publikováno v:
Journal of Aerospace Information Systems. :1-12
A policy for six-degree-of-freedom docking maneuvers with rotating targets is developed through reinforcement learning and implemented as a feedback control law. Potential clients for satellite ser...
Publikováno v:
Automatica. 91:105-117
A novel Model Predictive Control (MPC) law for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is to simultaneously enhance both the safety and performance of an AP, by red
Publikováno v:
Optimal Control Applications and Methods. 39:904-918
Autor:
Ananda Basu, Michele Schiavon, Tyler Jean, Steve Patek, Alejandro J. Laguna Sanz, Mei Mei Church, Jordan E. Pinsker, Boris Kovatchev, Ling Hinshaw, Vikash Dadlani, Stacey M. Anderson, Francis J. Doyle, Wendy C. Bevier, Shelly K. McCrady-Spitzer, Elaine Schertz, Rickey E. Carter, Yogish C. Kudva, Dayu Lv, Paige K. Bradley, Emma Emory, Claudio Cobelli, Chiara Dalla Man, Ravi Gondhalekar, Jonathan Hughes, Eyal Dassau, Isuru Dasanayake, Lauren M. Huyett, Sue A. Brown
Publikováno v:
Diabetes Care. 40:1719-1726
OBJECTIVE Artificial pancreas (AP) systems are best positioned for optimal treatment of type 1 diabetes (T1D) and are currently being tested in outpatient clinical trials. Our consortium developed and tested a novel adaptive AP in an outpatient, sing
Publikováno v:
IFAC-PapersOnLine. 50:15074-15079
Clinical trials have demonstrated that zone model predictive control is an effective closed-loop blood glucose regulation method for people with type 1 diabetes (T1D). This paper presents a universal model-free optimization method to seek an optimal
Publikováno v:
IFAC-PapersOnLine. 50:7724-7730
A novel Model Predictive Control (MPC) strategy for an artificial pancreas to treat people with type 1 diabetes mellitus is proposed and tested in-silico. The proposed controller has been designed to handle a large spectrum of meal sizes more effecti
Autor:
Bruce A. Buckingham, Sunil Deshpande, Ravi Gondhalekar, Jordan E. Pinsker, Tatiana Marcal, Francis J. Doyle, Daniel P. Howsmon, Lauren M. Huyett, B. Wayne Bequette, Lindsey Towers, Eric Mauritzen, Nihat Baysal, Eyal Dassau, Trang T. Ly, David M. Maahs, Gregory P. Forlenza, Faye Cameron
Publikováno v:
Diabetes Care
OBJECTIVE As artificial pancreas (AP) becomes standard of care, consideration of extended use of insulin infusion sets (IIS) and continuous glucose monitors (CGMs) becomes vital. We conducted an outpatient randomized crossover study to test the safet
Autor:
Gregory P. Forlenza, Eyal Dassau, Lauren M. Huyett, Francis J. Doyle, Trang T. Ly, David M. Maahs, Suzette Reuschel-DiVirgilio, Bruce A. Buckingham, R. Paul Wadwa, Laurel H. Messer, Ravi Gondhalekar, Jordan E. Pinsker
Publikováno v:
Diabetes Technology & Therapeutics. 19:331-339
The artificial pancreas (AP) has the potential to improve glycemic control in adolescents. This article presents the first evaluation in adolescents of the Zone Model Predictive Control and Health Monitoring System (ZMPC+HMS) AP algorithms, and their
Autor:
Jordan E. Pinsker, Francis J. Doyle, Eyal Dassau, Dale E. Seborg, Ravi Gondhalekar, Joon Bok Lee
Publikováno v:
Industrial & Engineering Chemistry Research. 55:11857-11868
Development of an effective artificial pancreas (AP) controller to deliver insulin autonomously to people with type 1 diabetes mellitus is a difficult task. In this paper, three enhancements to a clinically validated AP model predictive controller (M