Publications by Andrea Alessandretti

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Colin Neil Jones, Andrea Alessandretti, Ye Pu, Francisco Fernandes Castro Rego

This article addresses the problem of simultaneous distributed state estimation, and control of linear systems with linear state feedback, subjected to process, and measurement noise, under the constraints of quantized, and rate-limited network data transm ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

Colin Neil Jones, Andrea Alessandretti

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 measurements, an exogenous system to estimate the state of this system. We consider ...

WILEY2020

A Nonlinear Adaptive Controller for Airborne Wind Energy Systems

Colin Neil Jones, Andrea Alessandretti, Ioannis Lymperopoulos, Sanket Sanjay Diwale

A nonlinear adaptive path following controller for a kite based airborne wind energy system is presented. For a given desired geometric path, we provide necessary conditions for closed-loop convergence of the kite to a tube centered around the desired path ...

2016

Continuous-time Model Predictive Control for Economic Optimization : Theory, Design, and Applications to Motion Control of Underactuated Vehicles

Andrea Alessandretti

This thesis addresses the design of optimization-based control laws for the case where convergence to a desired set-point, minimization of an arbitrary performance index, or a combination of the two, is the desired objective. The results are developed with ...

EPFL2016

Sensor Fault Tolerance in Output Feedback Nonlinear Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

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 system in order to prevent loss of observability caused by a sensor fault. To ...

Ieee2016

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Colin Neil Jones, Andrea Alessandretti, Ye Pu, Francisco Fernandes Castro Rego

This paper addresses the problem of distributed state estimation for linear systems with process and measurement noise, in the case of limited communication data rate, where the data exchanged between agents is quantized. We propose a linear distributed Lu ...

Ieee2016

On convergence and performance certification of a continuous-time economic model predictive control scheme with time-varying performance index

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of convergence and performance certified sampled-data model predictive control (MPC) laws with a time-dependent economic performance index. More precisely, using a dissipativity property of the system, we provide a set of su ...

Pergamon-Elsevier Science Ltd2016

A consensus algorithm for networks with process noise and quantization error

Colin Neil Jones, Andrea Alessandretti, Ye Pu, Francisco Fernandes Castro Rego

In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval ...

IEEE2015

Optimization Based Control for Target Estimation and Tracking via Highly Observable Trajectories An Application to Motion Control of Autonomous Robotic Vehicles

Colin Neil Jones, Andrea Alessandretti, António Pedro Rodrigues de Aguiar

This paper proposes a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives an autonomous robotic vehicle to follow a target vehicle using an on-line estimate of the ...

Springer-Verlag Berlin2015

A Model Predictive Control scheme with Ultimate Bound for Economic Optimization

Colin Neil Jones, Andrea Alessandretti

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 desired set point, is combined with a classic stabilizing stage cost. The associated ...

2015

An Economic Model Predictive Control scheme with terminal penalty for continuous-time systems

Colin Neil Jones, Andrea Alessandretti

In this paper, convergence and performance properties of a sample-data continuous time model predictive control (MPC) scheme with economic performance index are developed. In particular, we provide sufficient conditions for convergence of the close loop st ...

2014

Optimization based control for target estimation and tracking via highly observable trajectories

Colin Neil Jones, Andrea Alessandretti, António Pedro Rodrigues de Aguiar

This paper presents a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives a follower vehicle to a target vehicle using on-line estimation of the target position an ...

2014

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained underactuated vehicles. By allowing an arbitrarily small asymptotic tracking error, we derive MPC ...

2013

A Model Predictive Control Scheme with Additional Performance Index for Transient Behavior

Colin Neil Jones, Andrea Alessandretti, António Pedro Rodrigues de Aguiar

This paper presents a Model Predictive Control (MPC) scheme for nonlinear continuous time systems where an extra performance index, which is not a measure of the distance to the set point, is introduced to influence the transient behavior of the controlled ...

2013

Trajectory-tracking and Path-following Controllers for Constrained Underactuated Vehicles using Model Predictive Control

Colin Neil Jones, Andrea Alessandretti

This paper addresses the design of Model Predictive Control (MPC) laws to solve the trajectory-tracking problem and the path-following problem for constrained under-actuated vehicles. By allowing an arbitrarily small asymptotic tracking error, we derive MP ...

IEEE2013