In this paper, we tackle the problem of pushing piles of small objects into a desired target set
using visual feedback. Unlike conventional single-object manipulation pipelines, which …

Estimation of nonlinear dynamic models from data poses many challenges, including model
instability and nonconvexity of long-term simulation fidelity. Recently Lagrangian relaxation …

This paper discusses the problem of system identification when frequency domain side-
information is available. We mainly consider the case where the side-information is provided …

In this paper, we introduce a novel method for identification of internally positive systems. In
this regard, we consider a kernel-based regularization framework. For the existence of a …

This paper gives convex conditions for the synthesis of a distributed control system for large-
scale networked nonlinear dynamic systems. It is shown that the technique of control …

We consider identification of externally positive linear discrete-time systems from
input/output data. The proposed method is formulated as a semidefinite program, and is …

Finding separable certificates of stability is important for tractability of analysis methods for
large-scale networked systems. In this paper we consider the question of when a nonlinear …

The behavior of many real-world phenomena can be modeled by non-linear dynamical
systems whereby a latent system state is observed through a filter. We are interested in …

Unmanned Aerial Vehicle (UAV) path planning algorithms often assume a knowledge
reward function or priority map, indicating the most important areas to visit. In this paper we …

Learning models of dynamical systems characterized by specific stability properties is of
crucial importance in applications. Existing results mainly focus on linear systems or some …