Energy efficiency is one of the key actions for the implementation of the energy transition in Europe and the world. The IONESCO laboratory is part of the development of tools for energy efficiency in industry. The aim of the IONESCO joint laboratory is to set up a "research and innovation" roadmap between the Automation and Systems (A & S) team of The Laboratory of Computer Science and Automatic Control for Systems (LIAS-University of of Poitiers) and Chauvin Arnoux to offer new functionalities to the measuring devices produced by the company including models of knowledge of the industrial environments in which they are used. This work aims at creating a break in the field of measuring instruments. Indeed, on the market, these materials provide information, potentially relevant, numerous, but for the most part not contextualized. Thus, identical information from different contexts can be provided without the apparatus being able to account for this change of environment. Consequently, it is the operator who must operate the three fundamental phases of the treatment, namely contextualization (taking into account the measurement environment), diagnosis and decision-making. The breakthrough envisaged is to initiate what the measurement should be in the industrial environment in the years to come.It consists of deporting all or part of the contextualization and diagnosis in the device, thus enabling the operator to make the best use of his cognitive resources and to make the decisions that are necessary in the circumstances. The project will: - For contextualization: the development and integration in the apparatus, models of knowledge of networks and energy uses. - For the diagnosis: the development and integration of specific processing algorithms making the best use of the future measurement and calculation capacities of the equipment. To achieve these objectives, UNESCO aims to share resources, technologies and knowledge between the A & S team and the Chauvin Arnoux company. The A & S team works on two major themes of automation, namely the identification and control of systems with energy and environmental efficiency as their main applications.In this team is carried out an activity of development of sensors software for the management of the energy which will be the main tool exploited in this project. The Chauvin Arnoux company offers a wide range of measuring instruments used by millions of professionals every day throughout the world. Its range covers the fields of general electrical measurement, electronic device test equipment and physical parameter measurement. The results of the laboratory will allow Chauvin Arnoux to broaden its offer and position itself favorably in the face of its competition by offering a new generation of devices designed on a new ergonomics.

With the expansion of the proportion of renewable energy in the distribution network, managing the flows of energy in the grid is essential. To cope with the fast changes in the energy landscape, modernizing the electrical system is necessary. The French and European context, in which the electrical networks have been developed, leads to encourage the deployment of Smart Grid technologies (network instrumentation, automation, data enhanced value...). The integration of New Information and Communication Technologies will connect more and more networked objects and will allow more flexibility by taking into account the different actions of the stakeholders, while ensuring more efficient, secure and economically viable electricity delivery services. In this context, SRD and LIAS lab have decided to combine their expertise to jointly respond to the ANR call for projects to set up a common laboratory (LabCom) which will enhance the partnership that has already led to the development of a prototype called IMAGE (Smart system for energy management) which optimizes the grid over a period of time. This LabCom project is essential not only to accelerate the integration of the Distributed Energy Resources (DER), but also for the industrialization of IMAGE. The objective is to allow its use in SRD and increase its precision and deployment capabilities to any industrial environment by adding a stochastic approach that takes into account the variability of consumption on the one hand and the intermittency of DER production on the other.

MultiProcessor Systems on Chips (MPSoCs) embedded in real-time systems are made of increasingly specialised computing (CPUs, GPUs, NPU's, etc.). This heterogeneity offers a better use of the resources (processing units, power consumption, etc.) but systems may be harder to predict. Critical real-time systems must provide logical but also timing guarantees. The application part of these systems is represented by tasks with temporal constraints, such as a deadline, the date before which the execution of a task must be completed. For the hardware part, these heterogeneous systems are often described in the literature as "unrelated" platforms. In this classification, it is possible to assign a different execution speed to each task/processor pair. This generalizes the so-called "homogeneous" category, where processors can have different but constant speeds for all tasks. The SHRIMP project aims at designing an efficient, real-time scheduler for such heterogeneous platforms. In particular, the scheduler must be global (allowing migration between processors) and dynamic. It must be able to handle (sporadic) tasks without pre-defined arrivals and to react online to events. Existing state-of-the-art solutions are constructed offline which produces an unsatisfactory use of the resources. For example, they cannot take advantage of the early completion (before the end of its worst-case execution time) of a task. Moreover, the task models considered in this work are not adapted to the characteristics of modern applications (dependencies) and realistic (monolithic worst-case execution time for a task possibly running on different processors). Also, their task model can not capture modern applications features (e.g. dependencies) and realistic (monolithic worst-case execution time for a task possibly running on different processors). The project aims at considering first a particular case of "unrelated" platforms called "consistent" for which there is a comparison order between the processors but where the speed of the processors are not necessarily constant (as for the homogeneous platforms). This category allows for representing ARM big.LITTLE type architectures with slow and fast processors, of different architectures but with the same instruction set. Then, it will be necessary to be critical towards the classically used task model and to propose a scheduling algorithm able to schedule dependent tasks. This last model would allow representing more accurately tasks with code sections whose execution time could vary according to the processor used. The developed solutions will have to be formally validated through proofs and theoretical tools for comparing schedulers. Through simulations, attention will be paid to the performance of the scheduler, e.g. on the utilisation workload supported or on the number of context changes (preemptions, migrations) which have a strong impact on the applicability of the results. In this respect, the project also focuses on the practical evaluation of the solution. The scheduling algorithms will have to be implemented on a realistic testbed.

The MSDOS project questions the stability and stabilization of multidimensional systems also known as nD systems. It is aimed at expanding both the theoretical and practical aspect of the field. MSDOS is decomposed into 6 different tasks. Three tasks are indeed devoted to advance the theory of multidimensional systems in stability and stabilization: one based on the Lyapunov theory, one focused on repetitive systems and one using a fractional representation approach. The last three ones are focused on the practical aspects of the field: first the results obtained will be applied to study other infinite dimensional systems using an nD approach, second a set of packages will be proposed for analysis and synthesis problems, and simulation of nD systems, third the creation of a complete course on multidimensional systems will be available at least in one of the partner laboratory. The project should significantly help creating a stronger community of researcher in France around this exciting field which is one of the main goals of the project on par with the obtained theoretical advances. The work will be handled by four different partners with complementary skills starting with LIAS in Poitiers (and LATP in Marseille), INRIA Saclay-Île-de-France in Paris, XLIM (Limoges) and an international collaboration with ISSI (Poland).

This project intend to develop new approaches and conceptual methodology to set up a theoretical sound framework for texture modeling . Texture analysis is a fundamental problem in image processing with numerous fields of applications in medical imaging, computer graphics or data based indexation and classification. The original proposed work forms an interface between different fields of expertise : probability and statistics, image and signal processing, computer science and automation. We will mainly focus on statistical descriptors of textures with a specificity for vectorial data treatment. One of the project's main objectives is that the features statistics computed from the texture may be described and connected to statistical properties of vector-valued parametric random fields for color imaging in both continuous and discrete setting. The questions about the characterizations of the features as well as the synthesis process from the identified models are core issues.