Search results for "controller"

Active Single-Blade Installation Using Tugger Line Tension Control and Optimal Control Allocation

2020

A multicompartment model for open-loop control of glucose in insulin-dependent diabetics

1990

This paper describes a model that has been developed for individually adjusted therapy management in insulin-dependent diabetics. The multicompartment model considers all relevant aspects of glucose kinetics and its dependence on insulin. The structure of the model reflects that of the physiological system. Its parameters can be classified into (a) general parameters that are independent of the individual, (b) classifying parameters that are related systematically to the individual, and (c) distinguishing parameters. Classifying parameters allow a very convenient adjustment to relevant features of the individual like sex, age, body weight and length. The model can be employed in open-loop c…

Need of causal analysis for assessing phase relationships in closed loop interacting cardiovascular variability series

2003

The phase spectra obtained by the classical closed loop autoregressive model (2AR) and by an open loop autoregressive model (ARXAR) were compared to shed light on the need of introducing causality in the assessment of the delay between RR and arterial pressure oscillations. The reliability of the two approaches was tested in simulation and real data setting. In simulation, the coupling strength of a bivariate closed loop process was adjusted to obtain a range of working conditions from open to closed loop. In open loop condition, 2AR and ARXAR phases were comparable and in agreement with the imposed delay. In closed loop condition, ARXAR model returned the imposed delays, while 2AR showed a…

Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation

2012

In this paper, the calibration of a framework based in Multi-agent Reinforcement Learning (RL) for generating motion simulations of pedestrian groups is presented. The framework sets a group of autonomous embodied agents that learn to control individually its instant velocity vector in scenarios with collisions and friction forces. The result of the process is a different learned motion controller for each agent. The calibration of both, the physical properties involved in the motion of our embodied agents and the corresponding dynamics, is an important issue for a realistic simulation. The physics engine used has been calibrated with values taken from real pedestrian dynamics. Two experime…

Mitigating Local Attacks Against a City Traffic Controller

2016

Adaptive tuning system and parameter estimation of a digitally controlled boost converter with STM32

2019

. This paper proposes a diagnostic system of a power electronic converter, based on a cheap STM32 Nucleo board, aiming to extract some relevant measurements which gives back important values of the converter's parameters behavior. Moreover the designed system is also exploited for implementing the converter's auto tuning in order to optimize its dynamic performance.

Application of Model Predictive Control in Discrete Displacement Cylinders to Drive a Knuckle Boom Crane

2018

In this paper, two Discrete Displacement Cylinders (DDCs) are used to drive the boom of a knuckle boom crane. DDCs operate by connecting one of several available pressure levels to each chamber in order to produce different forces. A trade-off exists with such systems, between the accuracy of tracking and energy dissipation due to switching. A popular way to approach this problem is a Force Shifting Algorithm (FSA). However, in this paper, the trade-off is managed by use of a Model Predictive Control (MPC) algorithm. The tracking accuracy and energy efficiency of the MPC and FSA strategies for DDCs are compared to a PID strategy for standard cylinders. The comparison is obtained by use of a…

Minimizing uncertainties with improved power system stability using wide area fuzzy-2 logic based damping controller

2017

In this paper, a centralized Wide Area Damping Controller (WADC) is synthesized based on Interval Type-2 Fuzzy Logic controller. The disturbance is symbolized as distributed in the network with application of momentarily disturbance to the generator in area 1 for few cycles. The response of tie-line active power flow from area-1 to area-2, rotor speed change, rotor mechanical angle deviation, positive sequence voltage are examined by considering the test system with conventional PSS (CPSS), fuzzy type-1 based controller and fuzzy type-2 based controller. The proposed controller performance is analyzed and compared with fuzzy type-1 based controller and CPSS. The simulation results are used …

Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems

2021

AbstractA human activity recognition (HAR) system acts as the backbone of many human-centric applications, such as active assisted living and in-home monitoring for elderly and physically impaired people. Although existing Wi-Fi-based human activity recognition methods report good results, their performance is affected by the changes in the ambient environment. In this work, we present Wi-Sense—a human activity recognition system that uses a convolutional neural network (CNN) to recognize human activities based on the environment-independent fingerprints extracted from the Wi-Fi channel state information (CSI). First, Wi-Sense captures the CSI by using a standard Wi-Fi network interface car…

An embedded datalogger with a fast acquisition rate for in-vehicle testing and monitoring

2011

A very compact and high performance datalogger for automotive in-vehicle testing is here described. The small logger dimensions and the availability of a CAN interface allows to easily implement multiple and distributed acquisition schemes, very challenging with traditional instrumentation. High acquisition rate, up to 100 Ksps/ch, and low cost was obtained through a very accurate hardware and software design.