Specifically, we apply genetic algorithms to obtain low order optimal control designs with and without the strict positive real constraint on the compensator. This study shows that genetic search ...

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

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 ...

The DDPG algorithm was based on and developed from the DQN algorithm. It mainly uses an actor network to make up for the shortcoming that DQN cannot deal with continuous control problems. The DDPG is ...

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 ...