-
Article
Open AccessThe involvement of rTPJ in intention attribution during social decision making: A TMS study
The mini-Ultimatum Game (mini-UG) is a bargaining game used to assess the reactions of a responder to unfair offers made by a proposer under different intentionality conditions. Previous studies employing this...
-
Article
Open AccessEpidemiological model based periodic intervention policies for COVID-19 mitigation in the United Kingdom
As the UK, together with numerous countries in the world, moves towards a new phase of the COVID-19 pandemic, there is a need to be able to predict trends in sufficient time to limit the pressure faced by the ...
-
Chapter
Sliding Modes in Consensus Control
In this chapter, an overview of the possibility of applying Sliding Mode Control to Consensus Control problems is proposed. The theoretical concepts at the basis of Consensus Control are first introduced to fo...
-
Chapter and Conference Paper
Search-Based Motion Planning for Performance Autonomous Driving
Driving on the limits of vehicle dynamics requires predictive planning of future vehicle states. In this work, a search-based motion planning is used to generate suitable reference trajectories of dynamic veh...
-
Chapter
Constrained Sliding-Mode Control: A Survey
In this chapter, the robust control of input and state-constrained nonlinear systems is discussed from the perspective of sliding-mode control. The proposals currently available in the literature are summarize...
-
Chapter
Sliding Mode Fault Diagnosis with Vision in the Loop for Robot Manipulators
This chapter is devoted to the problem of Fault Diagnosis (FD) for industrial robotic manipulators within the framework of sliding mode control theory. According to this control concept, a set of unknown input...
-
Chapter
Local and Wide-Area Sliding-Mode Observers in Power Systems
This chapter presents a review of sliding-mode estimation techniques recently proposed by the authors in the area of power systems. The power grid is interpreted as a large-scale system, composed of an interco...
-
Article
Fuzzy scheduling of robust controllers for islanded DC microgrids applications
In the present paper a decentralized control scheme that relies on sliding mode (SM) and high gain control methodologies to regulate the load voltage in buck-based islanded direct current (DC) microgrids is de...
-
Chapter
Sliding Modes Control in Vehicle Longitudinal Dynamics Control
Sliding Mode Control is a nonlinear control methodology based on the use of a discontinuous control input which forces the controlled system to switch from one continuous structure to another, evolving as a va...
-
Chapter
Fundamentals of Traffic Dynamics
Traffic flow theory is devoted to study the interactions between vehicles (or drivers) and the infrastructure, which is given by many components, such as the roadways, the road signs and the traffic control ac...
-
Chapter
Second-Order Macroscopic Traffic Models
Second-order macroscopic traffic flow models introduce a second dynamic equation compared to first-order models, i.e. the equation describing the dynamics of the mean speed of vehicles. Second-order models wer...
-
Chapter
Emission Models for Freeway Traffic Systems
It is widely recognised that road transport is one of the main sources of air pollution and that the measures to reduce pollution need to accurately take into account the contribution of road traffic systems. ...
-
Chapter
An Overview of Traffic Control Schemes for Freeway Systems
Some of the criticalities associated with traffic phenomena in freeway networks can be mitigated or even eliminated with suitable control strategies. The most important and evident drawback of traffic is surel...
-
Chapter
Emerging Freeway Traffic Control Strategies
Classical freeway traffic control approaches can be conveniently revisited in the light of the new technologies which have revolutionised data collection, data processing, communications and computing. In this...
-
Chapter
Freeway Traffic Systems
The efficient management of freeway traffic networks is a very crucial issue in all the developed countries, where advanced technologies and methodologies have been designed and are still under development in ...
-
Chapter
First-Order Macroscopic Traffic Models
Macroscopic traffic describe the traffic behaviour at a high level of aggregation, i.e. the traffic dynamics is expressed through aggregate variables, such as traffic density, mean speed and flow. Macroscopi...
-
Chapter
Microscopic and Mesoscopic Traffic Models
Besides macroscopic traffic flow models, traffic modelling in freeway systems has also been treated with other general approaches, resulting in microscopic and mesoscopic models. Macroscopic models can surely ...
-
Chapter
Event-Triggered Sliding Mode Control Strategies for a Class of Nonlinear Uncertain Systems
This chapter presents novel Sliding Mode Control (SMC) strategies of Event-Triggered (ET) type for a class of nonlinear systems affected by uncertainties and external disturbances. By virtue of its ET nature, ...
-
Chapter
State Estimation in Freeway Traffic Systems
Freeway networks are generally equipped with different types of sensors which are able to measure traffic conditions in real time. Such sensors are placed in fixed positions on the road network and, hence, mea...
-
Chapter
Implementation-Oriented Freeway Traffic Control Strategies
When adopting optimisation-based control approaches in real time for freeway traffic systems, practical applicability and efficiency are extremely important aspects. The complexity of the traffic control probl...
