CINVESTAVIPN

Mexico City, Mexico

CINVESTAVIPN

Mexico City, Mexico
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PubMed | CINVESTAV, CINVESTAVIPN, National Autonomous University of Mexico, Metropolitan Autonomous University and Polytechnic School of Algiers
Type: Journal Article | Journal: Oncology reports | Year: 2016

The Aurora protein kinase (AURKA) and the Polo-like kinase-1 (PLK1) activate the cell cycle, and they are considered promising druggable targets in cancer therapy. However, resistance to chemotherapy and to specific smallmolecule inhibitors is common in cancer patients; thus alternative therapeutic approaches are needed to overcome clinical resistance. Here, we showed that the dietary compound resveratrol suppressed the cell cycle by targeting AURKA and PLK1 kinases. First, we identified genes modulated by resveratrol using a genome-wide analysis of gene expression in MDA-MB-231 breast cancer cells. Transcriptional profiling indicated that 375genes were modulated at 24h after resveratrol intervention, whereas 579genes were regulated at 48h. Of these, 290genes were deregulated in common at 24and 48h. Interestingly, a significant decrease in the expression of genes involved in the cell cycle, DNA repair, cytoskeleton organization, and angiogenesis was detected. In particular, AURKA and PLK1 kinases were downregulated by resveratrol at 24h. In addition the BRCA1 gene, an AURKA/PLK1 inhibitor, was upregulated at 24h of treatment. Moreover,two well-known resveratrol effectors, cyclinD1 (CCND1) and cyclinB1 (CCNB1), were also repressed at both times. Congruently, we found that resveratrol impaired G1/Sphase transition in both MDA-MB-231 and MCF-7 cells. By western blot assays, we confirmed that resveratrol suppressed AURKA, CCND1 and CCNB1 at 24and 48h. In summary, we showed for the first time that resveratrol regulates cell cycle progression by targeting AURKA and PLK1. Our findings highlight the potential use of resveratrol as an adjuvant therapy for breast cancer.


Li X.,CINVESTAVIPN | Yu W.,CINVESTAV
Proceedings of the IEEE International Conference on Control Applications | Year: 2010

Neural sliding mode control (NSMC) may decrease chattering of the sliding mode control (SMC) and improve control accuracy of the neural control (NC). There are some problems with the common parallel structure, such as the chattering is big at start stage. In order to overcome the above problem, we propose a new serial structure for NSMC, it is called two-stage neural sliding control. A dead-zone NC is used to make the tracking error bounded, then super-twisting second-order SMC is applied to guarantee finite time convergence. This new controllers has less chattering during its discrete realization, and ensures finite time convergence. Real-time experiments for a magnetic levitation system are presented to compare this new NSMC with regular controllers, such as PID, NC, SMC, and normal NSMC. © 2010 IEEE.


Yu W.,CINVESTAVIPN | Li X.,CINVESTAVIPN
Proceedings of the IEEE Conference on Decision and Control | Year: 2012

In order to minimize steady-state error with respect to uncertainties in robot control, the integral gain of PID control should be increased. Another method is to add a compensator to PD control, such as neural compensator, but the derivative gain of this PD control should be large enough. These two approaches deteriorate transient performances. In this paper, the popular neural PD is extended to neural PID control. The semiglobal asymptotic stability of the neural PID control is proven. The conditions give explicit selection methods for the gains of the linear PID control. A experimental study on an upper limb exoskeleton with this neural PID control is addressed. © 2012 IEEE.


Vazquez C.,National Autonomous University of Mexico | Fridman L.,National Autonomous University of Mexico | Collado J.,CINVESTAVIPN
Proceedings of the IEEE Conference on Decision and Control | Year: 2012

In this paper the 3-Dimensional Overhead Crane is the subject of study. The note includes the Euler-Lagrange equations of a 5 degrees of freedom, 5DOF, Overhead Crane and the design of a Second Order Sliding Mode Controller in order to ensure the precise load transfer during the load movement despite of model uncertainties and un-modeled dynamics. Moreover, the system is under-actuated and 5DOF should be controlled with 3 control actions. The stability analysis is developed based on Lyapunov second method ensuring the finite time convergence to the desired sliding output. Simulations and Experimental results are presented. © 2012 IEEE.


Cruz-Zavala E.,National Autonomous University of Mexico | Moreno J.A.,National Autonomous University of Mexico | Fridman L.M.,CINVESTAVIPN | Fridman L.M.,National Autonomous University of Mexico
IEEE Transactions on Automatic Control | Year: 2011

The differentiators based on the Super-Twisting Algorithm (STA) yield finite-time and theoretically exact convergence to the derivative of the input signal, whenever this derivative is Lipschitz. However, the convergence time grows unboundedly when the initial conditions of the differentiation error grow. In this technical note a Uniform Robust Exact Differentiator (URED) is introduced. The URED is based on a STA modification and includes high-degree terms providing finite-time, and exact convergence to the derivative of the input signal, with a convergence time that is bounded by some constant independent of the initial conditions of the differentiation error. Strong Lyapunov functions are used to prove the convergence of the URED. © 2011 IEEE.


Yu W.,CINVESTAVIPN | Rosen J.,University of California at Santa Cruz
Proceedings of the IEEE Conference on Decision and Control | Year: 2010

An upper limb exoskeleton is a wearable robotic system that is physically linked to the arm of the human operators and its seven actuated degrees of freedom (DOF) match the seven DOF of the human arm. The stability of such a system is critical given the proximity of its human operator. A new PID controller is developed which guarantee asymptotic stability for this class of robotic manipulators. A simulation was used to assess the system performance given the theoretical results of the controller's parameters with a unique exoskeleton system (EXO-UL7). The simulation also verify the semi-global asymptotic stability of the system. The proposed methodology eliminates the need of the system's dynamics model for the purpose of designing the controller. It provides an analytical tool for the controller design that is traditionally preformed experimentally (parameter tuning).


Mejia E.,CINVESTAVIPN | Schutze O.,CINVESTAVIPN
Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010 | Year: 2010

Recently, a gradient based method has been proposed which allows to steer a given candidate solution of a multiobjective optimization problem (MOP) F : Q ⊂ ℝn → ℝk in any direction α ∈ ℝk defined in objective space. Since in the context of optimization improvements are sought, α is typically a descent direction, and the resulting curve of improving solutions steers in case the objectives are bounded below toward a boundary solution, i.e., a point x* whose image F(x*) is at the boundary of F(Q). The efficient computation of such points is of particular interest both for descent methods (i.e., to find solutions of the MOP) or for methods that move along the solution set of a MOP. Here we present a predictor corrector algorithm for the computation of such points that increases the performance of the above mentioned steering method. © 2010 IEEE.


Trejo-Zuniga I.,CINVESTAVIPN | Melendez-Vazquez F.,CINVESTAVIPN | Martinez-Guerra R.,CINVESTAVIPN
Proceedings of the American Control Conference | Year: 2016

A practical application of a fault-tolerant dynamical controller with the purpose of tracking or regulation is shown. This observer-based fault-tolerant control is obtained by means of a generalized observability canonical form multi-input multi-output. The dynamical controller is capable of linearizing the tracking errors, achieving asymptotic stability. To accomplish this, a fault diagnosis is required for systems with additive or multiplicative faults. These faults are reconstructed online and simultaneously. To illustrate the effectiveness of the suggested approach a real-time application is presented. © 2016 American Automatic Control Council (AACC).


Ramirez-Neria M.,CINVESTAVIPN | Sira-Ramirez H.,CINVESTAV | Luviano-Juarez A.,UPIITA IPN | Rodrguez-Angeles A.,CINVESTAV
Asian Journal of Control | Year: 2015

In this article, the problem of robust trajectory tracking, for a parallel robot is tackled via an observer-based active disturbance rejection controller. The proposed design method is based on purely linear disturbance observation and linear feedback control techniques modulo nonlinear input gain injections and cancellations. The estimations are carried out through Generalized Proportional Integral (GPI) observers, endowed with output integral injection to ease the presence of possible zero mean measurement noise effects. As the lumped (both exogenous and endogenous) disturbance inputs are estimated, they are being used in the linear controllers for on-line disturbance cancellation, while the phase variables are being estimated by the same GPI observer. The estimations of the phase variables are used to complete a linear multivariable output feedback controller. The proposed control scheme does not need the exact knowledge of the system, which is a good alternative to classic control schemes such as computed torque method, reducing the computation time. The estimation and control method is approximate, ensuring small as desired reconstruction and tracking errors. The reported results, including laboratory experiments, are better than the results provided by the classical model-based techniques, shown to be better when the system is subject to endogenous and exogenous uncertainties. © 2014 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd.


Li X.,CINVESTAVIPN | Yu W.,CINVESTAV
IEEE International Conference on Control and Automation, ICCA | Year: 2011

This paper addresses the iterative tuning method of PID control for the robot manipulator based on the responses of the closed loop system. Several properties of the robot control are used, such as any PD control can stabilize a robot in regulation case, the colsed-loop system of PID control can be approximated by a linear system, and the control torque to the robot manipulator is linearly independent of the robot dynamic. By using these properties, a novel systematic turning method for the PID control is proposed. Simulations and experimental results of an upper limb exoskeleton give validation of this PID tuning method. © 2011 IEEE.

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