Adaptive sliding mode based disturbance attenuation tracking control for wheeled mobile robots
This paper is devoted to investigating a composite controller for wheeled mobile robots in
the presence of external disturbance and parametric uncertainty. Unlike the traditional …
the presence of external disturbance and parametric uncertainty. Unlike the traditional …
A predictor for dead-time systems based on the Kalman filter for improved disturbance rejection and robustness
Dead-time processes are common in industry and represent a challenge for feedback
control. The use of predictor structures with the controllers can attenuate this. A predictor is …
control. The use of predictor structures with the controllers can attenuate this. A predictor is …
A high-speed optical remote-control switch based on giant persistent photoconductivity
GY Lee, BS Mun, H Ju - ACS Applied Electronic Materials, 2024 - ACS Publications
Based on the giant persistent photoconductivity (GPPC) characteristic of VO2, we report a
remote-control switch that allows high-speed switching on/off functionality. The switch …
remote-control switch that allows high-speed switching on/off functionality. The switch …
A predictor for square multivariable dead-time systems with multiple delays based on the Kalman filter
Dead-time is a phenomena that is present in many industrial processes and it presents a
challenge for feedback control, especially for multivariable processes. To attenuate the dead …
challenge for feedback control, especially for multivariable processes. To attenuate the dead …
Dual-rate extended Kalman filter based path-following motion control for an unmanned ground vehicle: Realistic simulation
R Carbonell, Á Cuenca, V Casanova, R Pizá… - Sensors, 2021 - mdpi.com
In this paper, a two-wheel drive unmanned ground vehicle (UGV) path-following motion
control is proposed. The UGV is equipped with encoders to sense angular velocities and a …
control is proposed. The UGV is equipped with encoders to sense angular velocities and a …
Adaptive-neuro-fuzzy-based information fusion for the attitude prediction of TBMs
In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a
driver. However, the current laser targeting system has a large delay before obtaining the …
driver. However, the current laser targeting system has a large delay before obtaining the …
Investigating the Path Tracking Algorithm Based on BP Neural Network
L Liu, M Xue, N Guo, Z Wang, Y Wang, Q Tang - Sensors, 2023 - mdpi.com
In this paper, we propose an adaptive path tracking algorithm based on the BP (back
propagation) neural network to increase the performance of vehicle path tracking in different …
propagation) neural network to increase the performance of vehicle path tracking in different …
A QFT approach to robust dual‐rate control systems
A dual‐rate control system is a hybrid system composed of continuous‐time and discrete‐
time elements with two sampling frequencies. In this work, a new frequency domain analysis …
time elements with two sampling frequencies. In this work, a new frequency domain analysis …
Estrutura De Compensação De Atraso Baseado No EKF Para Sistemas Não-Lineares Multivariáveis
Este trabalho apresenta o uso do Filtro de Kalman Estendido (EKF) para compensação de
atraso de transporte em processos não-lineares. O atraso é um desafio para o controle de …
atraso de transporte em processos não-lineares. O atraso é um desafio para o controle de …
Estimating the maximum allowable delay bound for networked control systems using co-simulation and design space exploration
In this chapter, we propose the usage of co-simulation models of networked control systems
as an additional tool to compute the network delay upper bound, the value above which the …
as an additional tool to compute the network delay upper bound, the value above which the …