As one of the core technologies of the automatic control system for unmanned surface
vehicles (USVs), autonomous collision avoidance algorithm is the key to ensure the safe …

In order to realize the autonomous collision avoidance of unmanned surface vehicles
(USVs), an intelligent hybrid collision avoidance algorithm based on deep reinforcement …

Increasing use of series compensation in doubly-fed induction generator (DFIG)-based wind
farms has led to subsynchronous control interaction (SSCI) incidents. The irregular …

In this paper we propose a new parameter estimator that ensures global exponential
convergence of linear regression models requiring only the necessary assumption of …

The problem of estimating constant parameters from a standard vector linear regression
equation in the absence of sufficient excitation in the regressor is addressed. The first step to …

In this article, we prove new connections between two frameworks for analysis and control of
nonlinear systems: the Koopman operator framework and contraction analysis. Each …

In this paper we propose a new algorithm that estimates on-line the parameters of a
classical vector linear regression equation Y= Ω θ, where Y∈ R n, Ω∈ R n× q are bounded …

In this article, a passivity-based virtual oscillator control strategy with enhanced
synchronization stability for grid-forming inverters (GFMs) is proposed. By adopting the port …

This paper addresses cooperative control of velocity and heading for an unmanned surface
vessel (USV) utilizing a twin delay deep deterministic policy gradient (TD3) reinforcement …

It is widely recognised that the existing parameter estimators and adaptive controllers for
robot manipulators are extremely complicated, stymieing their practical use–in particular, for …