Abstract: We propose an iterative Linear Quadratic Regulator (iLQR) framework that exploits the equilibrium space to enable stability analysis of optimization-based controllers for nonlinear ...

Abstract: This paper proposes a joint precoding-filtering framework based on widely linear (WL) processing to increase the mutual information between the transmitted symbols and the filter output in ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...