In this work, we consider the problem of localizing a team of robots, without access to direct
pose measurements, under the influence of nonuniform environmental disturbances and …

This paper addresses the design of a stabilizing continuous time sampled-data Nonlinear
Model Predictive Control (NMPC) law to solve the Moving Path Following (MPF) motion …

This article presents a novel class of control policies for networked control of Lyapunov-
stable linear systems with bounded inputs. The control channel is assumed to have iid …

In this paper, we propose a Nonlinear Model Predictive Control (NMPC) approach that is
employed by an Autonomous Underwater Vehicle (AUV) to track and estimate a moving …

In this paper, we consider the problem of localizing a team of unicycle agents with
collaborative ranging, onboard compass measurements, and access to a subset of agent …

This article addresses the problem of designing a sensor fault‐tolerant controller for an
observation process where a primary, controlled system observes, through a set of …

This paper presents a Model Predictive Control (MPC) scheme for nonlinear continuous-
time systems where an economic stage cost, which is not a measure of the distance to a …

In this paper, a new approach to the observability of dynamical systems with uncertain
sensors is developed. This approach is based on the redefinition of indistinguishability to …

The present dissertation aims to use the coupling between actuation and sensing in
nonlinear systems to alternatively design a set of feasible control policies, to find the …

This paper presents an active output feedback fault-tolerant model predictive control (MPC)
scheme for systems with sensor faults. The proposed control scheme actively steers the …