Characteristic modeling and the adaptive control design based on it have attracted increasing attention from the research community due to their many successful practical applications that have been ...

This paper proposes a new development method for highly reliable real-time embedded control systems using a CPU model-based hardware/software co-simulation. We take an approach that allows the full ...

As OEMs and machine builders continue to search for advantages in the digital age, the use of model-based design - an approach involving, at it's core, the ...

Learn the steps and tips to calibrate your control system simulation model for plant engineering, and achieve a realistic and accurate representation of the real system behavior.

As an electrical engineer, it's crucial to select the most suitable model for your control system simulation in MATLAB and Simulink. This choice hinges on the system's complexity, dynamics, and goals.

The model based development process adapts use of graphical models as a way to accord with the increased intricacy. Such model-based development is also linked to simulation, graphical models of ...

Ideally, such a model also moves away from the question of which parts are implemented in hardware and which in software, focusing instead on the functions to be realized. This kind of model-based ...

This work presents control simulation of a mechanical system using a model-based reinforcement learning (RL) algorithm. It was meant only for data exploration, experimentation, visualization, and ...

Repository for the course "Model-based Development of Cyber Physcial Systems" - SSY191 at Chalmers University In this project, a full design of control systems for the Bitcraze quadrocopter have been ...

4.1 Simulation results—Passivity-based nonlinear model predictive control (PNMPC) In this section, the proposed passivity-based nonlinear model predictive scheme is applied to control a multi-robot ...