Nonlinear control of a two-wheeled inverted pendulum (Segway): Lagrangian modeling, Sliding Mode Control & Feedback Linearization with Lyapunov stability proofs, and MATLAB simulations comparing the ...

With the rapid optimization and evolution of various neural networks, the control problem of robotic arms in the area of automation control has gradually received more attention. The research results ...

Abstract: This paper proposes an algorithm for estimating parameters of a proportional integral derivative (PID) controller in real-time using the radial basis function (RBF) neural network. The ...

Abstract: A PID control combined with Radial Basis Function (RBF) neural network was proposed for course control of ship steering. The traditional PID control has a wide application on ship steering ...

1 Research Centre for Fluids and Thermal Engineering, University of Nottingham, Ningbo, China. 2 Department of Architecture and Built Environment, The University of Nottingham, Nottingham, UK. 3 ...

Existing adaptive locomotion control mechanisms for legged robots are usually aimed at one specific type of adaptation and rarely combined with others. Adaptive mechanisms thus stay at a conceptual ...

ABSTRACT: Proportional, integral and derivative (PID) control strategy has been widely applied in heating systems in decades. To improve the accuracy and the robustness of PID control, self-tuning ...

The temperature modeling of the coke furnace in industrial coke equipment is not very easy due to disturbances, nonlinearity, and switches of coke towers. For characterizing the temperature dynamics ...