The presence of control constraints, because they are non-differentiable in the space of control functions, makes it difficult to cope with terminal equality constraints. For this reason some existing ...

This article presents a new fast and robust algorithm that provides fuel-optimal impulsive control input sequences that drive a linear time-variant system to a desired state at a specified time. This ...

Learn about the common types of control algorithms for robot motion planning and navigation, and how to select the best one for your environment and goal. Agree & Join LinkedIn ...

The core area of expertise are embedded optimization algorithms, i.e. methods for real-time optimization on embedded platforms, with a focus on nonlinear systems. The work of the group spans from ...

Learn about five popular control techniques for nonlinear systems in electrical engineering and how to select the best one based on performance, robustness, complexity, and stability.

This project was delivered as part of the Optimal Control course held by professor Notarstefano at University of Bologna.. The related task description can be read here. The report where we discuss in ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...