This article considers a robotic sensor network that measures the loss of irradiance in a
thermosolar power plant due to moving clouds. To this end, a receding-horizon predictive …

In vehicle control, state estimation is essential even as the sensor accuracy improves with
technological development. One of the vehicle estimation methods is receding-horizon …

In order to solve the problems of the insufficient static-dynamic performance and coupling
constraints (namely, input saturation, input dead zone and output constraint) for practical …

This letter investigates the distributed constrained optimization problem under inter-agent
communication delays from the perspective of passivity. First, we propose a continuous-time …

In this letter, we present an adaptive passification framework for unknown input-affine
nonlinear systems. In the present framework, a reference system is designed so that the …

This paper addresses distributed learning of object shapes using multiple robots, and
proposes a systematic design procedure for distributed optimization algorithms with data …

We propose a novel, system theoretic analysis of the Alternating Direction Method of
Multipliers (ADMM) applied to a convex constraint-coupled optimization problem. The …

We consider the problem of remotely manipulating an unknown payload using multiple
agents in the presence of sensing and actuation delays. The overall objective is to find an …

Abstract Receding-Horizon Estimation (RHE) is an optimal filterling approach which uses
past series of the plant's measured output and input and finds estimated states based on …

In this paper, we address a class of distributed optimization problems with non-strictly
convex cost functions in the presence of communication delays between an agent and a …