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Miguel Angel Garcia Rangel,Adrian Manzanilla,Angel Eduardo Zamora Suarez,Filiberto Muñoz,Sergio Salazar,Rogelio Lozano 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.3
This research work focuses on the design of a robust-adaptive control algorithm for a 4DOF Unmanned Underwater Vehicle (UUV). The proposed strategy is based in a Non-Singular Terminal Sliding Mode Control (NTSMC) with adaptive gains, where the proposed adaptation mechanism ensures that the gains remain bounded. In this control strategy a non-singular terminal sliding surface is proposed to obtain a faster convergence of the tracking errors. The NTSMC ensures Practical Finite-Time Stability for the closed-loop system as well as exhibits a chattering reduction. In order to demonstrate the satisfactory performance of the proposed controller, a set of experiments was performed with a Non-singular Terminal Sliding Mode Controller and an Adaptive Non-Singular Terminal Sliding Mode Control (ANTSMC) in real time for trajectory tracking in the X-Y plane, the graphs showed that the ANTSMC converges faster to a smaller region and reduces oscillations.
Neoadjuvant therapy impact in early pancreatic cancer: “bioborderline” vs. “non-bioborderline”
Alvaro Gregorio Morales Taboad,Pablo Lozano Lominchar,Maria Fernandez Martinez,Pilar Garcia-Alfonso,Andres Munoz Martin,Jose Manuel Asencio 한국간담췌외과학회 2022 Annals of hepato-biliary-pancreatic surgery Vol.26 No.4
Advances in neoadjuvant therapy for resectable pancreatic cancer over the past two decades
Alvaro Gregorio Morales Taboad,Pablo Lozano Lominchar,Lorena Martin Roman,Pilar Garcia-Alfonso,Andres Jesus Munoz Martin,Jose Antonio Blanco Rodriguez,Jose Manuel Asencio Pascual 한국간담췌외과학회 2021 Annals of hepato-biliary-pancreatic surgery Vol.25 No.2
In the last two decades, pancreatic cancer has been undergoing important changes in its perioperative management due to the great interest in multidisciplinary management and preoperative multimodal therapy, which in numerous studies have shown promising clinical results. Although the standard of treatment for resectable pancreatic ductal adenocarcinoma (PDAC) today is surgery followed by adjuvant therapy, as it is a biologically aggressive disease, even with complete resection, it has high rates of local and distant relapse. Several retrospective and prospective phase I/II studies have opened the window for neoadjuvant therapy with chemotherapy (CT), chemoradiotherapy (CRT), or both, as an alternative treatment for resectable pancreatic cancer, with promising results. Neoadjuvant therapy could has some advantages, including early administration of systemic treatment, in vivo assessment of response to treatment, increase resectability rate in borderline patients, increase resection rate with negative margin and survival benefit. While it seems clear that even potentially resectable disease would benefit from preoperative multimodal therapy, the optimal neoadjuvant therapeutic strategy is still controversial and currently there are only recommendations for neoadjuvant treatment, in clinical guidelines such as the NCCN and ESMO, for borderline and/or locally advanced PDAC. This review provides an overview of recent studies available and how they relate to systemic treatment of resectable PDAC in the neoadjuvant setting.
Optimal Dispatch Model for Demand Response Aggregators
Victor J. Gutierrez-Martinez,Enrique A. Zamora-Cardenas,Alejandro Pizano-Martinez,Jose M. Lozano-Garcia,Miguel A. Gomez-Martinez 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1
This paper proposes a new three-phase optimal dispatch model for multiple Demand Response (DR) aggregators. By means of the unbalanced distribution system modeling, DR involvement of single- and three-phase consumers is considered avoiding aggravating the asymmetric balancing between phases, as opposed to traditional positive-sequence DR approaches. Furthermore, this proposal can consider several DR service providers by means of the explicit inclusion of their characteristics, in the form of cost functions and capacity, in an optimal dispatch model for DR support at the distribution system level. Hence, this proposal helps to eliminate any possible uncertainty about the provision of DR services by improving the traditional hierarchical scheme adopted based on prices issued by the Independent System Operator (ISO). The model is implemented and solved combining the two state-of-the-art computational tools, Matlab® and OpenDSS. The former is used to solve the optimization problem, whereas the latter is used to perform numerical simulations of three-phase unbalanced power flow; both tools allow a straightforward model implementation resulting in a tool easily modified and updated. The effectiveness of the proposed approach is numerically demonstrated using the IEEE 13- and 123-node test feeders, in which undesirable operating scenarios are corrected by the implementation of the optimal dispatch of DR resources in very short computational times. Based on the results, it is shown how the ISO is capable to request DR considering several aggregators competing at the distribution system level. Finally, the loss reduction has been included in the objective function, showing that the proposal optimally dispatches the DR aggregators to conveniently minimize the ISO’s operational costs.