A5064595532- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Fractional Differential Equations Solutions
- Control Systems and Identification
- Extremum Seeking Control Systems
- Chaos control and synchronization
- Control and Stability of Dynamical Systems
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Nonlinear Dynamics and Pattern Formation
- Advanced Chemical Sensor Technologies
- Fermentation and Sensory Analysis
- Sensorless Control of Electric Motors
- Stability and Control of Uncertain Systems
- Mineral Processing and Grinding
- Neural Networks and Applications
- Neural Networks Stability and Synchronization
- Microgrid Control and Optimization
- Electric Motor Design and Analysis
- Spectroscopy and Chemometric Analyses
- Magnetic Bearings and Levitation Dynamics
- Distributed Control Multi-Agent Systems
- Viral Infectious Diseases and Gene Expression in Insects
- Nonlinear Differential Equations Analysis
Universidad Central de Chile
2021-2025
University of Chile
2015-2024
Universidad de Santiago de Chile
2021
Universidad de La Frontera
2021
University of Bío-Bío
2021
University of Talca
2021
Pontificia Universidad Católica de Chile
2021
Metropolitan University of Technology
2019
SUNY Upstate Medical University
2019
National University of Health Sciences
2001-2017
Abstract A new approach, combining direct and indirect control methods, recently proposed by the authors is used to adaptively plants with unknown parameters. The plant parameters are known lie in a specified compact set parameter space output of has follow desired presence piecewise‐constant input disturbance. Simulation results indicate that combined method performs better than either or method.
An approach to adaptive control is introduced using a combination of both direct and indirect methods. On the basis estimates plant parameters current values parameters, closed-loop estimation errors epsilon /sub theta /(t) k/(t) are defined. These in turn used laws for updating identification parameters. The global uniform stability overall system shown by constructing Lyapunov function. Only first-order treated detail, get across principal concepts involved. In particular, dynamic...
This paper extends Lyapunov stability theory to mixed fractional order direct model reference adaptive control (FO-DMRAC), where the parameter is of order, and error integer order. The proposed approach can also be applied other types controllers (MRACs), provided form dynamics law are similar. demonstrates that will converge zero, even if derivative classical function V˙ positive during a transient period, as long V˙(e,ϕ) tends zero time approaches infinity. Finally, this provides...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The results of Chilean wine classification based on the information contained in aroma chromatograms measured with a Fast GC Analyzer (<formula formulatype="inline"><tex>$\hbox{zNose}^{\rm TM}$</tex></formula>) are reported. profiles derivative frequency change responses surface acoustic wave (SAW) detector when it is exposed to flux volatile organic compounds (VOCs) during measurement....
Abstract A new approach to model reference adaptive control, based on a combination of direct and indirect control methods, is introduced in this paper. The controller structure identical that used the method, but algorithm update parameters depends both output error as plant parameter estimates control. global stability overall system assured by existence Lyapunov function. In ideal case discussed here, combined results improved transient response with smaller amplitude input compared...
It is undoubtedly important to be able ensure the existence of a common quadratic Lyapunov function (CQLF) for given switched system because this proof its asymptotic stability, but equally ability calculate it in order obtain more specific information about behaviour under analysis. This article describes development new methodology calculating CQLF based on particle swarm optimisation (PSO) once has been assured. Several comparative analyses are presented show strengths and advantages...
This paper presents the analysis of control energy consumed in model reference adaptive (MRAC) schemes using fractional laws, through simulation studies. The is focused on spent signal represented by means integral squared input (ISI). Also, behavior error (ISE) included analysis. orders laws were selected particle swarm optimization (PSO), an objective function including ISI and ISE, with different weighting factors. results show that, when index taken into account process to determine...
Conditions for existence, uniqueness and smoothness of solutions systems fractional differential equations Caputo and/or Riemann-Liouville type having all them in general not the same derivation order are established this paper. It includes mixed-order, multi-order or non-commensurate systems. The smooth property is shown to be relevant drawing consequences on global behavior such In particular, we obtain sufficient conditions boundedness mixed-order nonlinear asymptotic stability using...