Abstract. With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science grid computing) enabling supply processing multi-mission data at a temporal frequency that is compatible with real-time flood forecasting requirements, this study presents concept for sequential assimilation Synthetic Aperture Radar (SAR)-derived water stages into coupled hydrologic-hydraulic models. The proposed methodology consists adjusting storages fluxes simulated by...

Abstract. Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updating hydraulic models in near real-time. The usefulness such approaches with real event sets provided by currently existing has yet demonstrated. In this case study, a Particle Filter-based assimilation scheme is integrate ERS-2 SAR...

Abstract. The Sequential Importance Sampling with Resampling (SISR) particle filter and the SISR parameter resampling (SISR-PR) are evaluated for their performance in soil moisture assimilation consequent effect on baseflow generation. With respect to resulting time series, both filters perform appropriately. However, has a negative due inconsistency between values states after assimilation. In order overcome this inconsistency, is applied along filter, obtain consistent analyzed state....

In recent years, numerous applications of science and engineering for modeling control unmanned aerial vehicles (UAVs) ground (UGVs) systems based on fractional calculus have been realized. The extra order derivative terms allow to optimizing the performance systems. review presented in this paper focuses problems UAVs UGVs that addressed by techniques over last decade.

In this work, a novel approach is presented for the multivariate prediction of hydrological variables, employing specialized type recurrent neural network (RNN) known as long-term memory (LSTM).The central objective to develop flood model using data collected from two stations situated along Atrato River in Choc´o Department, Colombia. The interconnected variables water level, flow, and precipitation are analyzed enhance accuracy. LSTM model, integrated into an RNN structure,...

In recent years, dc microgrid (MG) is increasing rapidly in electric power grids and other isolated systems, integrating more efficiency suite better some of the renewable energy sources, storage units, loads. However, MG stability analysis becomes a challenge when constant loads (CPLs) are applied to bus, which introduces destabilizing effects system due its negative impedance characteristics. This paper presents novel robust controller, based on linear programming Chebyshev theorem as...

Multi-converter electronic systems are becoming widely used in many industrial applications; therefore, the stability of whole system is a big concern to real-world power supplies applications. A multi-converter comprised cascaded converters has basic configuration that consists two or more series connection, where first source converter maintains regulated dc voltage on intermediate bus while remaining load convert tightly outputs for next stage load. Instability may occur due constant...

The objective of this paper is to analyze the improvement in performance particle filter by including a resample‐move step or using modified Gaussian filter. Specifically, standard structure altered inclusion Markov chain Monte Carlo move step. second choice adopted study uses moments an ensemble Kalman analysis define importance density function within structure. Both variants are used assimilation densely sampled discharge records into conceptual rainfall‐runoff model. results indicate...

This work presents the development of a distributed formation control for multiagent systems (MASs) using fractional-order proportional–integral (FOPI) structure. The fractional protocol proposed is evaluated on agents modeled with single- and double-integrator dynamics, in which it enhances convergence speed improves robustness system. In addition, novel method to study stability MASs frequency domain designed. allows deriving constraints parameters guarantee ensure when system topology by...

This paper presents a comparative study between two control strategies based on the sliding mode theory applied to switched DC-DC boost converter. A master-slave structure is converter such that inner loop current controller and outer voltage designed according what follows. First proportional-integral compensator (PI) proposed second, model predictive (MPC) used aiming an improved performance. The are validated nonlinear hybrid in simulation study. Tracking disturbance rejection tests...

In this work a novel application for multivariable forecasting is presented, applied to hydrological variables and based on NARX model. The proposed approach designed two stations located at the Atrato River in Colombia where of water level, flow precipitation are correlated by using model neural network structure. structure NARX-based order consider complex dynamics their corresponding cross-correlations. A short-term level model, be used as an early warning flood system. validation...

This paper presents an innovative multivariate forecasting application for hydrological variables, using online model based on backpropagation (BP) neural networks. The effectiveness of this approach is verified by the Nonlinear Autoregressive with Exogenous Inputs (NARX) and linear (ARX) methods. proposed methodology implemented in two stations department Chocó, Colombia, located along Atrato River. BP network structure applied to establish correlations between water level, flow,...

Abstract. With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science grid computing) enabling supply processing multi-mission data at a temporal frequency that is compatible with real-time flood forecasting requirements, this study presents concept for sequential assimilation Synthetic Aperture Radar (SAR)-derived water stages into coupled hydrologic-hydraulic models. The proposed methodology consists adjusting storages fluxes simulated by...

In this paper an Internal Model Control (IMC) based proportional-integral-derivative (PID) control is presented and evaluated on the benchmark system at 3rd IFAC Conference Advances in Proportional-Integral-Derivative (PID 18). The controller designed model of system. Its performance compared with a computer-aided design tool frequency response (FRtool) against reference controller. results show that proposed method has better due to fact IMC PID parameters depend totally model.

In this paper a fractional order proportional-derivative (FO-PD) control strategy is presented and applied to AR. Drone quadrotor system. The controller parameters are calculated based on specifying certain gain crossover frequency, phase margin robustness variations. Its performance compared against two other integer controllers; i) Extended Prediction Self-Adaptive Control (EPSAC) approach Model Predictive (MPC) ii) Integer PD controller. closed loop simulations the system indicate...

Abstract. Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updating hydraulic models in near real-time. The usefulness such approaches with real event sets provided by currently existing has yet demonstrated. In this case study, a Particle Filter-based assimilation scheme is integrate ERS-2 SAR...

The state estimation (SE) is a crucial subject in the analysis and management of electrical power systems (EPS). SE allows to determine alert about unacceptable voltage flow values, network losses topology changes. Also, permits know available amongst buses. This article provides referential study for performance Weighted Least Square (WLS), Extended Kalman Filter (EKF) Particle (PF) comparisons between these techniques Dynamic State Estimation (DSE) EPS. In technique, Holt method used...

This article studies a leader-follower formation algorithm based on fractional order proportional-derivative (FOPD) controller for multiple unmanned aerial vehicles (UAVs) when tackling an emergency health case. The parameters are tuned by using particle swarm optimization (PSO) algorithm. Its performance is compared with integer (IOPD) controller. Finally, the global path planning UAVs found Dijkstra's quintic polynomial trajectory. provides optimal considering physical system dimension and...

Temperature control in buildings has been a highly studied area of research and interest since it affects the comfort occupants. Commonly, temperature systems like centralized air conditioning or heating work with fixed set point locally at thermostat, but users turn on off system when they feel is too hot cold. This configuration clearly not optimal terms energy consumption even thermal for users. Model predictive (MPC) widely used systems. In MPC design, objective function involves...

In this paper a proportional-integral-derivative (PID) autotuning control strategy is presented and applied to the benchmark system at 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID18). The automatic tuning of controller gains based single sine test, with user-defined robustness margins guaranteed. Its performance compared against model designed computer-aided design tool frequency response (FRtool) reference controller. closed loop simulations, benchmark,...

In this paper the application of robust Fractional Order Proportional-Integral (FO-PI) autotuning control strategy is presented and applied to heterogeneous dynamic systems using decentralized control. The automatic tuning controller gains based on a single sine test, with user-defined robustness margins guaranteed. Its performance compared against two other fractional order controllers PI gain-crossover method Internal Model Control (IMC). closed loop simulations indicate that proposed...

Cascaded converters are used to satisfy the different voltage levels that loads need. Instability problems in cascaded systems may occur due interaction of Point-of-Load (POL) converters. POL exhibit important characteristic almost-perfect regulation at output terminals independent input perturbations. However, such reflects terminal as a constant power load (CPL). CPL exhibits incremental negative resistance behavior causing undesired oscillations and high risk instability interconnected In...

The state estimation and the analysis of load flow are very important subjects in management Electrical Power Systems (EPS). This article describes EPS using Extended Kalman Filter (EKF) method Holt to linearize process model then calculates a performance error index as indicators its accuracy. Besides, this can be used reference for further comparison between methodologies such Unscented Filter, Ensemble Monte Carlo methods, others. Results indices obtained simulation agree with order...