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Classical and Advanced Control Methods Applied to an Anaerobic Digestion Reactor Model
Conference ObjectAbstract: In this work, advanced method of process control as Extended Pbkp_rediction Self-Adaptive Control (EPalabras claves:anaerobic digestion, EPSAC, FRtool, KC autotuner, NEPSAC, PID Controller, SOPDTAutores:Fernández E., Keyser R.D., Ricardo Cajo, William I.A.Fuentes:googlescopusClosed-loop control of multi-drug infusion for anesthesia and hemodynamic management
Conference ObjectAbstract: This paper proposes the first MIMO closed-loop control of both anesthesia and hemodynamic system. ThPalabras claves:anesthesia, automated drug delivery, closed-loop control, drug synergy, hemodynamic regulation, inter-patient variability, MIMO system, Pbkp_redictive controlAutores:Birs I.R., Copot D., Ghita M., Ricardo CajoFuentes:googlescopusBehavioral Signal Processing with Machine Learning Based on FPGA
Conference ObjectAbstract: This paper focuses on analyzing health problems derived from a sedentary lifestyle. Studies seekingPalabras claves:Behavioral Signal Processing (BSP), Edge computing, field-programmable gate array (FPGA), Machine Learning (ML), Neural Network (NN), Social Cognitive Theory (SCT)Autores:Enrique Pelaez, Galo Sanchez, Ricardo Cajo, Victor Asanza ArmijosFuentes:googlescopusA Low Computational Cost, Prioritized, Multi-Objective Optimization Procedure for Pbkp_redictive Control towards Cyber Physical Systems
ArticleAbstract: Cyber physical systems consist of heterogeneous elements with multiple dynamic features. ConsequentlPalabras claves:drug regulatory network, INTERACTION, Model Pbkp_redictive Control, multi-objective optimization, Priority objectives, safety, steam power plant, Unmanned aerial vehicleAutores:Copot D., Ghita M., Ionescu C.M., Ricardo Cajo, Zhao S.Fuentes:googlescopusA Robust PID Autotuning Method Applied to the Benchmark PID18
Conference ObjectAbstract: In this paper a proportional-integral-derivative (PID) autotuning control strategy is presented andPalabras claves:KC autotuner, Modulus margin, Multi-input, multi-output, PID CONTROL, Refrigeration systemAutores:Douglas Antonio Plaza Guingla, Ionescu C.M., Keyser R.D., Liu S., Ricardo Cajo, Zhao S.Fuentes:googlescopusA Survey on Fractional Order Control Techniques for Unmanned Aerial and Ground Vehicles
ReviewAbstract: In recent years, numerous applications of science and engineering for modeling and control of unmannPalabras claves:Fractional Calculus, fractional order control techniques, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs)Autores:Copot C., Douglas Antonio Plaza Guingla, Ionescu C.M., Keyser R.D., Ricardo Cajo, Thi T.M.Fuentes:googlescopusA fractional order pbkp_redictive control for trajectory tracking of the ar.drone quadrotor
Conference ObjectAbstract: A fractional-order model pbkp_redictive control with extended pbkp_rediction self-adaptive control (Palabras claves:Fractional Calculus, Fractional Order Control, model pbkp_redictive control (MPC), Particle swarm optimization (PSO) algorithm, unmanned aerial vehicles (UAVs)Autores:Douglas Antonio Plaza Guingla, Ionescu C.M., Keyser R.D., Ricardo Cajo, Zhao S.Fuentes:googlescopusContext Aware Control Systems: An Engineering Applications Perspective
ArticleAbstract: Cyber-physical systems revolve around context awareness, empowering objective-oriented services, proPalabras claves:adaptive control, context aware control, context estimation, Cyber Physical Systems, deep learning, DIGITAL TWIN, event-based control, global economy, Intelligent Manufacturing Systems, iterative learning control, random forest, Self-optimization, Self-sustainability, societal challengesAutores:Birs I.R., Copot D., Ghita M., Ionescu C.M., Muresan C.I., Ricardo CajoFuentes:googlescopusContext and Driver Dependent Hybrid Electrical Vehicle Operation
Conference ObjectAbstract: This paper studies the driver and context changes during the operation of a hybrid electric vehiclePalabras claves:context aware control, context estimation, Cyber Physical Systems, Human-in-the-loop control, Machine learning, model pbkp_redictive control (MPC), Self-optimizationAutores:Beck R., Bengea S., Douglas Antonio Plaza Guingla, Dwek N., Ionescu C.M., Keyser R.D., Meskens J., Ricardo Cajo, Venkatesan S.K.Fuentes:googlescopusCentralized Cloud Pbkp_redictive Control of Multiple Lighting Systems
Conference ObjectAbstract: This paper studies the application of centralized cloud pbkp_redictive control based on dSPACE systePalabras claves:cloud pbkp_redictive control, consensus and stability, dSPACE controller, Multiple lighting controlAutores:Chi C., Ionescu C.M., Liu G.P., Ricardo CajoFuentes:googlescopus