Energy is the most suitable way of filling the gap of economic, social and environmental
factors to enhance human development across the globe. The energy production across the …

The feasibility of a neural network method was discussed in terms of a self-tuning
proportional–integral–derivative (PID) controller. The proposed method was configured with …

This paper heralds a mathematical treatment of Segways as autonomous robots for personal
transportation and deliveries and courier services in constrained dynamic environments …

A control system of an autonomous robot produces a control signal based on feedback. This
type of control implies the control of an object according to its state that is mathematically the …

Engineers strive to realize the goal of control in the best possible way based on a given
quality criterion when develo** control system. The well‐known optimal control problem …

This paper presents the non-linear control of an inverted pendulum type two-wheel self-
balancing robot under the influence of uncertainties. Unlike most of the works in the …

Self-balancing vehicles represent an interesting topic to be treated in future means of
transport. They can have the advantages of being small, practical, easy to carry and to use …

The paper considers the use of neural networks to tune the PID controller. The need to use
machine learning methods for tuning regulators stems from the complexity and duration of …

Different soft computing techniques based on artificial intelligence sub-fields such as fuzzy
logic, neural networks, granular computing, and other nature-inspired evolutionary and …

This paper presents the non-linear control of an inverted pendulum type two-wheel self-
balancing robot. Unlike most of the works in the literature, we propose a robust orientation …