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Neuro-modelling and fuzzy logic control of a two-wheeled wheelchair system
Two-wheeled wheelchairs have been used as alternatives for the elderly and disabled
people to perform physical activities due to their restriction of movement. Significant …
people to perform physical activities due to their restriction of movement. Significant …
Nonlinear identification of inverted pendulum system using Volterra polynomials
The inverted pendulum is one of the most significant problems in control theory and has
been studied in control literatures. The nonlinear model is useful in the control design. In the …
been studied in control literatures. The nonlinear model is useful in the control design. In the …
Optimization of Linear Quadratic Regulator for Reaction Wheel Inverted Pendulum using Particle Swarm Optimization: Simulation and Experiment
HN Binh, DT Dinh, AD Cong - Journal of Fuzzy Systems and …, 2025 - ejournal.ptti.web.id
This paper presents an optimization approach for the Linear Quadratic Regulator (LQR)
applied to a Reaction Wheel Inverted Pendulum (RWIP) system, utilizing Particle Swarm …
applied to a Reaction Wheel Inverted Pendulum (RWIP) system, utilizing Particle Swarm …
System identification of rotary double inverted pendulum using artificial neural networks
D Chandran, B Krishna, VI George… - … and Control (ICIC), 2015 - ieeexplore.ieee.org
System Identification has been widely used in obtaining the mathematical model of
nonlinear systems. Nonlinear system identification is challenging because of its complexity …
nonlinear systems. Nonlinear system identification is challenging because of its complexity …
A computationally intelligent neural network‐based nonlinear autoregressive exogenous balancing approach for real‐time processing in industrial applications using …
Deep learning based neural networks and their variants have gained popularity due to their
inherent flexibility to handle unforeseen especially when a chaotic time series big data are …
inherent flexibility to handle unforeseen especially when a chaotic time series big data are …
TLBO Optimized LQR based FOPID Controller
While designing a control algorithm for any system, researchers aim to develop a controller
which has low computational time and is simpler to analyze. Fractional order PID controller …
which has low computational time and is simpler to analyze. Fractional order PID controller …
Model identification of rotary inverted pendulum using artificial neural networks
D Chandran, B Krishna, VI George… - 2015 International …, 2015 - ieeexplore.ieee.org
System Identification has been widely used in obtaining the mathematical model of
nonlinear systems. Nonlinear system identification is challenging because of its complexity …
nonlinear systems. Nonlinear system identification is challenging because of its complexity …
Identification of nonlinear system using computational paradigms
RB Patel, SK Shah - International Conference on Automatic …, 2012 - ieeexplore.ieee.org
System identification is the powerful technique to identify the mathematical model of the
unknown system based on input-output data. It is difficult with ordinary methods when the …
unknown system based on input-output data. It is difficult with ordinary methods when the …
Modelación de la postcombustión en un horno de múltiples hogares utilizando redes neuronales artificiales
D Montero Góngora - 2016 - ninive.ismm.edu.cu
Se aborda la temática de redes neuronales artificiales, aplicada al subproceso de
postcombustión de un horno de reducción de mineral que opera según la tecnología Caron …
postcombustión de un horno de reducción de mineral que opera según la tecnología Caron …
[CITÁCIA][C] Desarrollo de un sistema de péndulo invertido para evaluación de estrategias de control avanzado
A Lovi - 2020 - Universidad Nacional de Cuyo