In everyday life, many systems obey simple, linear rules: if you pull twice as hard on a spring, it stretches twice as far.

The paper describes the problem of creation of a tracked mobile robot nonlinear control system to be able to move in an environment with obstacles. To solve the problem, a method of mobile robots ...

Traditional control systems like Nonlinear Dynamic Inversion (NDI) rely heavily on precise mathematical models. While this worked well for ...

The system dynamics are reconstructed to describe the nonlinear multi-agent systems via the intermittent control method and a hybrid event-triggered mechanism. This study represents the first attempt ...

Fragmented OT support leads to costly downtime and security risks. Control systems integrators provide unified management, ...

In this paper, the problem of dynamic event-triggered impulsive control for a class of nonlinear systems is studied. Based on the input-to-state stability results of nonlinear systems, a dynamic event ...

While Koopman theory offers significant advantages, such as enabling linear control strategies for nonlinear systems and facilitating predictive control with lookahead capabilities, it also presents ...

Learn about the basics, applications, benefits, and challenges of nonlinear control systems for robotics, and how they can improve performance, robustness, and flexibility.

The research interest of the Nonlinear Systems and Control group lies in the intersection of Control theory and Machine Learning: We aim to synergistically combine tools from nonlinear systems, ...

Although Nonlinear MPC (NMPC) shows promise for free-floating space manipulators, current NMPC applications are limited to unconstrained non-linear systems and do not guarantee closed-loop stability.