The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...

Abstract: This paper presents an advanced nonlinear backstepping controller for a magnetic-linked DC-DC converter, designed to achieve stable voltage regulation with zero steady-state error, minimal ...

Abstract: The Takagi–Sugeno (TS) fuzzy control design method has been widely utilized for nonlinear system control due to its ability to approximate complex system behaviors. Traditionally, TS fuzzy ...

This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️ ️ ...

Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona 85287, United States ...

I demonstrate a methodology to implement Linear MPC on a non-Linear system of Quadrotor. While the underlying non-linear dynamics are encapsulated, the high-level control is employed to achieve a ...

This product enables users to simulate, test, and evaluate MFA controllers on process models built in the MATLAB/Simulink environment. May 29, 2007 -- CyboSoft,announced the release of a new software ...