Gianfranco Gagliardi

Università della Calabria | Università della Calabria · Department of Computer Engineering, Modelling, Electronics and Systems (DIMES)

The relationship between estimating traffic flow and evaluating pollutant emissions lies in understanding how vehicular traffic patterns affect air quality. Traffic flow estimation is a complex field that involves a variety of analytical techniques to understand, predict, and manage the flow of vehicles on road networks. Different types of analyses...

This article considers a path tracking control problem for autonomous vehicles constrained to maintain a safe distance from the next vehicle in the lane. The control design problem is solved by considering a mathematical model of the vehicle that jointly describes the lateral and longitudinal dynamics. Specifically, the L2 optimal controller is des...

Predictive Maintenance approaches are gaining popularity in the new Industry 4.0 paradigm as they offer superior benefits in terms of time and money savings when it is required to assess the current working capabilities of operating equipment to carefully schedule maintenance operations. This work deals with a control allocation strategy inspired b...

In this paper, the sensor selection problem (i.e. the problem of selecting a subset of $p\ll n$ possibly redundant sensors from a larger set of $n$ potential sensors) for large-scale Wireless Sensor Networks (WSNs) is considered along with the concomitant design problem of determining a suitable fault-tolerant full state observer for effective...

This research addresses the joint sensor selection and observer design problem for positive systems. The proposed methodology leverages Mixed-Integer Semidefinite Programming (MISDP) techniques, providing a rigorous and systematic framework for optimizing the selection of sensors and the design of the corresponding optimal L1 observer in a unified...

In this paper, we present a prototype for the remote monitoring of underwater archaeological sites. The system aims to provide autonomous and real-time data collection from environmental probes and also includes biofouling detection based on image processing. The monitoring system is equipped with sensors to measure various parameters of interest,...

An urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps is here considered. The system is capable to autonomously modulate the street lamps’ brightness in specific areas or segments of the urban roads of interest to reduce the energy consumption at the minimum allowed by regulations. To this e...

This paper presents the design and implementation of BAICal (Intelligent Autonomous Buoy by the University of Calabria), an autonomous surface vehicle (ASV) developed at the Autonomous Systems Lab (LASA) of the Department of Computer Science, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria. The basic project was born...

This study investigates a system for monitoring displacements of underground pipelines in landslide-prone regions. This information is an important alarm indicator, not only to prevent the failure of the line itself but also to mitigate the direct consequences of landslides on buildings and infrastructures in the affected area. Specifically, a nume...

This paper considers a path tracking control problem for an autonomous vehicle under the constraint to maintain a safe distance from the vehicle preceding in the same lane. The control design problem is solved on the basis of a mathematical model that jointly describes the lateral and longitudinal dynamics. Specifically, an H ∞ optimal controller i...

The high demand of information and communication technology (ICT) in agriculture applications has led to the introduction of the concept of smart farming. In this respect, moving from the main features of the Fourth Industrial Revolution (Industry 4.0) promoted by the European Community, new approaches have been suggested and adopted in agriculture...

In this paper, an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps is developed. In order to reduce energy consumption, the system is designed to autonomously adapt street lamps' brightness on the basis of the presence of vehicles in specific segments of the streets/roads of inter...

Over the last decade, the increased use of information and communication technology (ICT) in agriculture applications has led to the definition of the concept of precision farming or equivalently smart agriculture. In this respect, the latest progress in connectivity, automation, images analysis and artificial intelligence allow farmers to monitor...

This paper presents some outcomes of a recently completed research and development project aimed at developing torque control strategies for automotive turbocharged combustion engines with modern control design methodologies and contrasting the results with those pertaining to current industrial controllers. For this kind of systems, traditional in...

This paper presents the design and validation of a model-based H∞ vehicle lateral controller for autonomous vehicles in a simulation environment. The controller was designed so that the position and orientation tracking errors are minimized and so that the vehicle is able to follow a trajectory computed in real-time by exploiting proper video-proce...

In underwater localization systems several sources of error may impact in different ways the accuracy of the final position estimates. Through simulations and statistical analysis it is possible to identify and characterize such sources of error and their relative importance. This is especially of use when an accurate localization system has to be...

This paper reports the results of a recently concluded R&D project, SCALS (Smart Cities Adaptive Lighting System), which aimed at the development of all hardware/software components of an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps. The system is capable to autonomously adjus...

An effective Air-to-Fuel Ratio (AFR) control is paramount to ensure a good combustion and high catalyst efficiency. This work addresses the problem of determining continuous-time estimates of AFR in turbocharged Spark Ignition (SI) engines on the basis of binary sparse measurements of the exhaust gas Oxygen. The latter are provided by a HEGO (Heate...

Obtaining accurate measures of the turbocharger rotational speed is a key task to achieve good powertrain control performance in turbocharged combustion engines. However, direct access to the rotating parts of a turbocharger requires expensive sensors that present long-term reliability issues. In view of this, this article focuses on the design of...

This paper focuses on the design and implementation on low-cost embedding systems of the overall signal processing chain required for the estimation of the turbocharger rotating speed from the overall sound emissions acquired via a microphone placed in the vehicle hood. Because the useful information about the turbo speed is disturbed by all other...

Abstract: The Air-To-Fuel ratio (AFR) is a crucial parameter to ensure good quality combustion and high catalyst efficiency. This work addresses the problem of determining continuous- time estimates of AFR in turbocharged Spark Ignition (SI) engines on the basis of only binary (on/off) sparse measurements of the exhaust gas Oxygen determined by usi...

This paper deals with the estimation of the turbocharger rotating speed via the numerical processing of the overall sound emissions acquired via a microphone placed under the vehicle hood. As a matter of fact, this kind of signals represents an extremely rich information source about the operating conditions of all the noisy powertrain subsystems....

In underwater localization several sources of error may impact in different ways the final estimation of the position. This applies to the Long Baseline (LBL), the Short Baseline (SBL) and the Ultra-Short Baseline (USBL) localization systems. Through simulations and statistical analysis, it is possible to identify and experimentally characterize su...

This paper deals with the estimation of the turbocharger rotating speed via the numerical processing of the overall sound emissions acquired via a microphone placed under the vehicle hood. As a matter of fact, this kind of signals represents an extremely rich information source about the operating conditions of all the noisy powertrain subsystems....

This poster reports the results of a research project, consisting of an urban smart lighting system capable to autonomously control the street lamp lighting level by exploiting data related to vehicles (bus, car, motorcycle and bike) and/or pedestrians traffic in a specific area. The system is able to set the lighting level on the basis of required...

This paper illustrates the derivation of a linear parameter varying (LPV) model approximation of a turbocharged Spark-Ignition (SI) automotive engine and its usage in designing a model-based fault detection and isolation (FDI) scheme. The LPV approximation is derived from a detailed nonlinear mathematical model of the engine on the basis of the wel...

This paper presents an urban smart lighting system capable to autonomously control the street lamp lighting level by exploiting data related to vehicles (bus, car, motorcycle and bike) and/or pedestrians traffic in a specific area. The system is able to set the lighting level on the basis of required needs and allows one to reduce energy costs. To...

This paper presents a fault-tolerant sensor reconciliation scheme for systems equipped with a redundant number of possibly faulty ”physical” sensors. The reconciliator is in charge to discover on-line, at each time instant, the faulty physical sensors, if any, and exclude their measures from the generation of the ”virtual” sensors, which, on the co...

The poster reports the results of a scientific collaboration with FIAT PowerTrain (now FCA) consisting of an application of a Linear Parameter Varying (LPV) fault detection and isolation (FDI) method to a FCA turbocharged spark-ignited engine is reported. Starting from a nonlinear mean-value mathematical description of the engine a LPV model approx...

An application of a recently proposed fault detection and isolation (FDI) design methodology for linear parameter varying (LPV) systems is presented which concerns the robust detection of stator windings faults of an electrical induction motor regulated by a speed controller. On the basis of a detailed nonlinear mathematical model of the motor, it...

In this paper, we propose a fault detection and isolation filter design method for internal combustion spark ignition engines. Starting from a detailed nonlinear mean-value mathematical description of the engine, a novel linear parameter varying (LPV) model approximation is derived on the basis of a judicious convex interpolation of a family of lin...

This paper presents a Matlab/Simulink toolbox for the backward quasi-static modelling and simulation of Hybrid and Electrical Power-trains (HEP) mainly direct towards their correct sizing and optimization. The tool consists of several blocks representing the main components of a power-train, e.g. thermal engines, electrical motors and generators, e...

In this paper we present an application to an electrical induction motor of a recently proposed gain-scheduling Fault Detection and Isolation (FDI) filter design method for LPV systems. Starting from a detailed nonlinear mathematical representation of the motor it is shown how, based on a judicious convex interpolation of a family of linearized mod...

A fault detection and isolation (FDI) filter design method is proposed for linear parameter-varying (LPV) systems, which are subject to abrupt changes in their structure. Such a phenomenon is modeled by a finite state Markov chain whose outcome is supposed to be directly available along with its rates transition matrix. The FDI filter is designed a...

In this paper a fault detection (FD) filter design method is proposed for hybrid switched linear parameter-varying (LPV) systems. The FD filter is designed as a bank of H\infty Luenberger observers, achieved by optimizing frequency conditions which ensure guaranteed level of disturbance rejection and fault sensitivity. The switching signal is assum...

In this paper we propose a Fault Detection and Isolation (FDI) filter design method for Spark Injection Engines. Starting from a detailed nonlinear mean-value representation of the engine, a LPV approximation is obtained based on a judicious convex interpolation of a family of linearized models. A LPV-FDI filter based on a bank of Luenberger observ...

In this paper we propose a Fault Detection and Isolation (FDI) filter design method for Spark Injection Engines. Starting from a detailed nonlinear Mean-value engine mathematical representation, a LPV approximation based on a judicious convex interpolation of a family of linearized models is obtained. An LPV-FDI filter based on the Luenberger obser...

In this paper we propose a Fault Detection and Isolation (FDI) filter design method for Spark Injection Engines. Starting from a detailed nonlinear Mean-value engine mathematical representation, a LPV approximation based on a judicious convex interpolation of a family of linearized models is obtained. An LPV-FDI filter based on the Luenberger obser...

In this paper, a fault detection (FD) filter design method is proposed for linear parameter-varying (LPV) systems, which are subject to abrupt changes in their structure. Such a phenomenon is modeled by a finite states Markov chain whose outcome is supposed to be directly available along with its rate transition matrix. The FD Filter is designed as...

The seagrass Posidonia oceanica represent an inestimable value for The Mediterranean Sea. For several years sea research deals with the study of sea coastal ecosystems, especially the seagrass Posidonia oceanica, considered an excellent environmental indicator and widely utilized in coastal bio-monitoring. This study has concerned the experimentati...

The seagrass Posidonia oceanica (L.) Delile is considered as an excellent environmental indicator for coastal waters quality. Thus, as required by the Water Framework Directive ( WFD 2000/60/EC), the assessment of the ecological status should be developed using a set of ecological indexes based on the P.oceanica meadow conditions. The main aim of t...