Publications related to State observer

Regularization for distributionally robust state estimation and prediction

Giancarlo Ferrari Trecate, Florian Dörfler, Jean-Sébastien Hubert Brouillon

The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation and the observed noise patterns. However, these patterns often do not fulfil ...

2023

Data-Driven Unknown-Input Observers and State Estimation

Giancarlo Ferrari Trecate, Mustafa Sahin Turan

Unknown-input observers (UIOs) allow for estimation of the states of an LTI system without knowledge of all inputs. In this letter, we provide a novel data-driven UIO based on behavioral system theory and the result known as Fundamental Lemma proposed by J ...

2022

Robust Localization for Multi-robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter

Alcherio Martinoli, Alicja Barbara Roelofsen, Michiaki Hirayama

This paper presents a thorough experimental evaluation of an extended Gaussian Mixture Probability Hypothesis Density filter which is able to provide state estimates for the maintenance of a multirobot formation, even when the communication fails and the t ...

Springer Nature2021

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance

Jan Skaloud, Gabriel François Laupré, Pasquale Longobardi

This paper presents the first practical results of a model-based approach to autonomous navigation applied to a small delta wing drone. The aerodynamic coefficients of the considered platform are unknown and need to be determined for the (vehicle dynamic) ...

2021

Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Network-level road traffic control remains a challenging problem. Macroscopic fundamental diagram (MFD) based dynamical models of large-scale urban networks enable development of model predictive perimeter control methods, which represent an efficient cong ...

2020

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state and inflow demands, both requiring information about the origins and destinations of drivers. Such assumptio ...

IEEE2019

Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state together with current and future inflow demands, requiring information about the origins and destinations (O ...

2019

Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach

Giancarlo Ferrari Trecate, Marcello Farina

In this paper, we propose a novel distributed fault detection method to monitor the state of a-possibly large scale-linear system, partitioned into interconnected subsystems. The approach hinges on the definition of a partition-based distributed Luenberger ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly

Dario Floreano, Stefano Mintchev, Davide Scaramuzza

The recent advances in state estimation, perception, and navigation algorithms have significantly contributed to the ubiquitous use of quadrotors for inspection, mapping, and aerial imaging. To further increase the versatility of quadrotors, recent works i ...

2019

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State observer

Regularization for distributionally robust state estimation and prediction

Data-Driven Unknown-Input Observers and State Estimation

Robust Localization for Multi-robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance

Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Real-Time State Estimation and Voltage Stability Assessment of Power Grids: From Theoretical Foundations to Practical Applications

Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach

The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly

Graph Chatbot

Chat with Graph Search

Regularization for distributionally robust state estimation and prediction

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach

The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly

Data-Driven Unknown-Input Observers and State Estimation

Robust Localization for Multi-robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter

Real-Time State Estimation and Voltage Stability Assessment of Power Grids: From Theoretical Foundations to Practical Applications