Carlos Vidal

Interagera med drönarsvärmar: Detektering, Lokalisering, Kommunikation och Störning.

Interacting with Drone Swarms: Detection, Localization, Communication, and Jamming

The industry of drones is experiencing exponential growth with multiple sectors planning to rely on them to deliver various services. However, this surge introduces significant challenges in communication and control of large numbers of drones.

Doctor wearing highly protective suit and holding globe in her hands

Regional Infectious Disease Epidemiology and Simulations - RIDES

Our research concerns epidemiological data and information processing in connection with infectious disease outbreaks at local and regional level.

Cybersecurity lab at LiU

The cybersecurity lab offers facilities that are tailored for teaching cybersecurity in undergraduate and professional training programs.

Wireless Network Design for Decentralized Machine Learning

Wireless Communications for Distributed Intelligence

This project aims at establishing a general framework for the joint design of information processing and wireless resource allocation to achieve communication efficiency and reliability in decentralized Machine Learning systems.

Integrated Sensing and Communications (ISAC)

One of the most promising features that will be integral part of the next generation of wireless mobile networks, 6G, is the integration of sensing functionality.

Energy Storage

Energy storage is about designing and optimizing systems to make the best use of batteries and fuel cells. Our research aims to design energy storage systems that make optimal use of batteries or fuel cells in a safe way.

Smart savannahs

With the help of modern security technology, apps and drones, endangered rhinoceros and elephants can be protected from poachers.

Sensor Fusion

The aim in sensor fusion is to extract information from several sensors using model-based filtering for supervision, decision making or control purposes.

Mechanical Manipulators

The application area mechanical manipulators covers different types of kinematic structures such as serial, closed kinematic chain type, and different wire based crane systems.

Planning and optimization-based control for autonomous systems

A central function of an autonomous system is to enable it to make use of its control signals. In our research, mathematical models are used by the system to predict the value and feasibility of possible choices of control signals.

Optimization for Control Applications

Optimization has become a vital tool for analysis, design and actual control implementations. Increasing demands are put on the computational efficiency of the algorithms, robustness and certifiability, and computational tools.

LINK-SIC - Linköping Center for Sensor Informatics and Control

LINK-SIC is a Vinnova Competence Center for industry-academia cooperation in the general area of control systems and signal processing. The center's operational period was between 2017 and 2023.

Learning Methods for Control

In this context learning refers to the process of using data to create mathematical descriptions of mechanisms for control and supervision of systems or processes.

Data-Driven Modelling

Some of the challenges with data-driven modelling are to handle dynamics, disturbances, mismatches between system and model, nonlinearities, prior knowledge, missing data, and closed-loop or network configurations.

Control-Oriented Physical Modelling

This scientific area relates to the cross-scientific discipline of building models of mechanic, electronic, as well as thermo- and fluid-dynamic systems where control inputs and models that have compact physical descriptions are central features.

Automotive Systems

The application area has the general theme of modeling, control, and supervision of functions in vehicle powertrains. The aim is to develop control systems that can obtain optimal performance, safety, energy utilization and environmental stability.

Aerial Vehicles

The research about manned and unmanned aerial vehicles concerns topics such as robust sensor fusion for navigation, monitoring and control purposes and tools for efficient estimation of models from flight test data.

Marine Vessels

The research within the application area Marine vessels is focused on support and advisory systems for marine automation.

SEDDIT

SEDDIT is a competence center funded within the framework of Vinnova's initiative in Advanced Digitalization, where universities and companies collaborate to conduct research and education in digital societal transformation.

The picture shows a system for satellite-based portioning of liquid fertilizer.

Agtech Sweden

Agtech Sweden aims to build up an innovation environment and activate a mobilisation aiming for tomorrow's agriculture.

Sensor Fusion

The goal in sensor fusion is to utilize information from spatially separated sensors of the same kind, sensors of different kind and finally on a more abstract level information sources in general in terms.

EV-cars that are charging at a charging post

Charging Infrastructure and Electric Grids

The electrification of society has begun and is expected to accelerate at an ever faster pace in order to achieve the environmental goals.

WASP at Department of Electrical Engineering (ISY)

WASP Computer Vision Laboratory, WASP Sensor fusion, WASP Vehicular Systems and WASP Optimization for Learning and Autonomy are located at the Department of Electrical Engineering (ISY) on Campus Valla in Linköping.

Carlos Vidal

Presentation

My roles

Agtech Sweden

Project Ngulia

Support for MSc thesis students

Agtech Sweden

Organisations

Department of Electrical Engineering (ISY)

Automatic Control (RT)

Research about Electrical Engineering at Linköpings university

Interacting with Drone Swarms: Detection, Localization, Communication, and Jamming