The course presents an overview of the problems of asset management that owners of numerous structures and networks are facing and that require engineering tools appropriate to the scale of analysis. The module thus covers methodological aspects (using concepts from the decision support) for the determination of the health status of a structure or a network that changes over time based on the objective analysis of the results of programmed inspection as well as more specific diagnosis surveillance. It also aims at presenting all the physical phenomena that explain the gradual deterioration of structures and reducing their safety or serviceability. Finally, using case studies in different areas (dams, dikes, networks, …) it provides the technological elements of the rehabilitation process.

http://ense3.grenoble-inp.fr/en/academics/asset-management-for-civil-engineering-works-and-networksetworks-hoe-master-he-5eus5gpo-1 Understanding of modeling tools used to describe the change over time of structures and their functioning
Developing strategies for monitoring, assessment and diagnosis of civil engineering structures and networks (water and wastewater networks, dams, dikes, tunnels and railways)
Knowledge of physical phenomena of degradation of materials and structures, knowledge of the main pathologies
Being able to choose among the main techniques for structures rehabilitation and to know the respective impact on their serviceability and safety. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique – Understanding of modeling tools used to describe the change over time of structures and their functioning
– Developing strategies for monitoring, assessment and diagnosis of civil engineering structures and networks (water and wastewater networks, dams, dikes, tunnels and railways)
– Knowledge of physical phenomena of degradation of materials and structures, knowledge of the main pathologies
– Being able to choose among the main techniques for structures rehabilitation and to know the respective impact on their serviceability and safety. notions of hydrology, hydraulics and civil engineering Frédéric Dufour 5 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Continuous exam (2/3) + Final exam (1/3) international.cic_tsukuba@grenoble-inp.fr

Printed electronics (courses and labwork)
Printed electronics : components
Digital printing
Electronics basics

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 5 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

Architectures of RF wireless systems; ISM bands; The atmospheric channel; IEEE802.X.X regulations; Architectures of RF Front-End ; System Parameters; Link budget ; Standard Technologies; Cellular systems; Zigbee; Bluetooth; WiGiG; UWB; Software defined Radio; Cognitive Radio

http://esisar.grenoble-inp.fr/en/academics/wireless-rf-systems-5amsc534 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres This lecture study wireless RF Systems. The main architectures are presented and compared. Standard technologies are presented. It concerns : ZIGBEE, BLUETOOTH, RFID, UWB, WIGIG. New technologies such as Software Defined Radio (SDR) Cognitive Radio are also presented. General Electronics
RF Electronics (matching)
Antennas (impedance, gain)
Signal Processing,
Digital signal
Modulation/Demodulation
Signal to Noise Ratio (SNR) / Bit Error Rate (BER) Smaïl TEDJINI 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). 1H45 ; Written exam ; Calculator and Documents are authorized
25%TP = 25% Homework (DM)+ 75%Exam international.cic_tsukuba@grenoble-inp.fr

Signal processing (problem based learning)
Sustainable development
Technical intelligence
Production management
Company visits

http://pagora.grenoble-inp.fr/en/international/fall-semester-paper-sciences-biorefinery-biomaterials-30-ects-1#page-programme Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Isabelle Desloges 6 1st year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

Introduction : System vs Embedded Systems; SOC design challenges, SOC modelling, Hardware Software partitionning.
System on programmable chip Architectures
SOPC design flow
Applications

http://esisar.grenoble-inp.fr/en/academics/advanced-processor-architecture-and-soc-design-5amce514 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres To be able to choose and to exploit the more appropriate processor architecture for a given application.
To be familliar with SOC design techniques and challenges – Digital design (VHDL or Verilog; FPGA design)
– Embedded software Programming (C; Assembly Language)
– Processor Architecture (RISC Architecture, ARM processor) David HELY 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Exam 1h30 + Labs international.cic_tsukuba@grenoble-inp.fr

Models for security analysis;
The need for cryptographic primitives and protocols;
Symmetric cryptosystems: design, make-up, analysis;
Other symmetric protocols and algorithms;
Arithmetic for asymmetric cryptography;
Examples of asymmetric cryptosystems;
Implementation of cryptographic primitives

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres After the course, the student should be able to:
analyze the security needs of a communication and/or computation system at an algorithmic/informational level;
grasp the design principles of cryptographic primitives;
implement a cryptographic primitive in hardware knowing its specification. Hardware design courses: digital design, FPGA, VHDL or Verilog Yann KIEFFER 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). E1: result of end-term written exam (90 min);
E2: individual oral examination (30 min);
CC: semester-long assessment international.cic_tsukuba@grenoble-inp.fr

1. An optimization-based approach for control of complex systems (Optimization-based control; Generic prediction models; Generation of a reference trajectory/profile; Set-theoretic elements; Mixed-integer representations in control design)
2. Cooperative control of multi-agent dynamical systems (System description; collision avoidance formulation; Area coverage for multi-agent systems in multi-obstacle environment; A tight configuration of multi-agent formation; centralized MPC, Distributed MPC; decentralized MPC)
3. Stability analysis
4. Examples, simulations, benchmarks and applications (Flight control experiments of Unmanned Aerial Vehicles; Microgrid energy management; Decentralized supervision and control of water networks)

http://esisar.grenoble-inp.fr/en/academics/decentralized-control-of-complex-systems-5amac554 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres The goal of this course is the optimal constrained control of complex dynamical systems. Elements from control theory and optimization will be merged together in order to provide useful tools which will be further applied to various problems involving multi-agent dynamical systems and interconnected systems in general. Beside classic control challenges related to the centralized vs distributed vs decentralized approaches, the stabilization and the tracking performances of each agent, there are a series of constraints imposed by the interaction with the environment and between themselves (anti-collision, avoidance constraints) as well as solving a collaborative task (e.g., maintain a fixed formation). This is generally the case with vehicles evolving in the same physical space, collaborative robots or drones covering a certain area. Some application benchmarks like control and coordination of multiple drones, energy management in complex energy systems and water distribution networks are discussed. Algorithms and programming, Linear and non-linear control, Optimal and predictive control Ionela PRODAN 2.5 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). E1 : Oral exam (in English) of 20 minutes for a team of students. E2 : Oral exam (in English) of 20 minutes and a report (in English). international.cic_tsukuba@grenoble-inp.fr

There ar only tree main approaches. The observer-based approach, the parity-space approach, and parameter identification-based methods. In order to optimize FDI indications, the following two step are developped :
The first step is to design a filter based on a model of the plant to generate a vector known as the residual. The residual should ideally be zero (or zero mean) under no-fault conditions.
The second step is to make decisions on whether a fault has occurred. This step is usually done using statistical tools to test if the residual has significantly deviated from zero.

http://esisar.grenoble-inp.fr/en/academics/model-based-fault-diagnosis-for-linear-systems-5amac514 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres Fault detection and isolation (FDI) is a subfield of control engineering which involves monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Model-based techniques of fault detection and isolation use a model to investigate/analyze the occurrence of faults. The system model may be mathematical or knowledge-based. We focus our attention on mathematical models. State space representation
Observer design
Identification H2
Algebre of matrice : Rank, ker, eigenvalue … Damien KOENIG 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam session 1, calculators authorized + 1 handwritten sheet A4 R/V, duration 1h30. international.cic_tsukuba@grenoble-inp.fr

1 Verification and test of critical and secure digital systems: Introduction (Context and issues; Verification vs Test; DO-254 Standard); Hardware systems verification (Simulation; Emulation & Prototyping); Hardware Testing (Defects and faults modeling; Automatic Test Pattern Generation (ATPG); Design for Test and Bult-in-Self-Test (DfT, BIST); Digital board testing (boundary scan).
2 HW/SW Co-Verification & Co-Development: Microelectronic context and trends (SoC, MPSOC); SoC design flow (Hadware/Software Co-design approach; Plateform based design); Introduction to SystemC (Starting with SystemC; Communication channels; New abstraction level: Transaction Level Modeling); Co-verification of Harware and Software systems (Context and definitions; Co-verification approaches based on ISS, BFM, TLM and emulation, criteria to choose a verification approach)
3 Hardware Security: Introduction & cryptography basis; Hardware Vulnerabilities (Fault Attacks; Side Chanel Attacks; Integrated Circuit Trustworthiness (Countermeasures, Security Certification and Case studies) Smartcard; FPGA)
Laboratories:
– VHDL & PSL Simulation with QuestaSim (Mentor GraphiCs)
– Simulation vs “prototyping and integrated logical analyzer” ChipScopePro (Xilinx)
– SRAM embedded memory test on FPGA Spartan 3 card (Xilinx)
– On the use of communication channels (Fifo, Mutex, Semaphore) to model a communication architecture
– SoCLib – “Emulation of a Hardware/Software architecture used for image processing”

http://esisar.grenoble-inp.fr/en/academics/verification-and-test-of-secure-circuits-5amse515 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Valence – Autres At the end of the lecture, the students will be able to verify, to test digital architectures and to analyse the vulnerabilities of embedded systemes. Then, they will be able to perform attacks and to design appropriate countermeasures. Neccessary: Hardware Description Language (HDL, verilog or VHDL) for simulation (testbench) and design, logical synthesis, FPGA, processor architecture (processor models, instruction set architecture), C programming
Ideally: bases of object oriented programming David HELY; Vincent BEROULLE 6 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Terminal Exam, First session, written, 3h, only document allowed “syntaxe VHDL”, no calculator
Labs: average of laboratory exams international.cic_tsukuba@grenoble-inp.fr

A prior algorithms (Frequent item sets) & Page Rank, Monte-carlo, MCMC methods: Metropolis-Hastings and Gibbs Sampling, Matrix Factorization (Stochastic Gradient Descent, SVD), Generalized kmeans and its variants (Bach, Online, large scale), Kernel clustering (Support Vector Clustering), Spectral clustering, Classification and Regression Trees, Support Vector regression,Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…Alignment and matching algorithms (local/global, pairwise/multiple), dynamic programming, Hungarian algorithm,…

Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Domaine universitaire – Saint-Martin-d’Hères Fundamentals of probability/statistics, linear algebra and computer science (data structures and algorithms) Eric Gaussier 3 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

Designing modern products and systems in an innovative, sustainable and
competitive way demands the implementation of new paradigms in
development organisations. Design is no longer concentrated on a
specific phase. It goes beyond aesthetics to cover all functional
aspects of a product or a system, thus driving the entire development
process. Consequently, more and more actors of the complete product
life-cycle have to be integrated in the design process. This creates new
challenges for design engineers, as well as for development project
managers. This course adresses all these challenges looking at examples
from the design of automotive mechatronic systems.

http://genie-industriel.grenoble-inp.fr/en/studies/idesigner-tackling-complexity-by-integration-5guc0904 Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Autres The definition and motivation of integration in design:

• the targets of integration, including the product life-cycle,
• essential methods of integration, including concurrent engineering and product modelling,
• mastering complexity and innovation,
• knowledge management for integration,
• collaborative integrated design
•
selected aspects of integration in design, including sustainable
design, risk assessment, safety design, virtual development tools and
techniques, etc… Basic knowledge on the product design process. Andreas RIEL 6 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Final exam international.cic_tsukuba@grenoble-inp.fr

ROBUST CONTROL COURSE

Introduction
Industrial examples (automotive and electromechanical applications).
1 Tools
Hinf norm: how to dene the gain of a MIMO system ?
Singular values of a transfer matrix, introduction to H2 and H1 norms.
Example of a mass/srping/damper system.
Internal stability: Notion of well-posedness, Small Gain theorem
2 Performance analysis
 Denition of the sensitivity functions
 frequency-domain performance indices (sensitivity functions, stability and robustness margins, bandwidth, SISO and MIMO cases)
3 Hinf control design
Performance Specications: selection of weighting functions.
Loop-shaping Mixed sensitivity problem.
Solving the Hinf control problem:  Obtaining the General control conguration
 Hinf controller structure (state feedback, dynamic output feedback)
 Problem solution using Riccati equations or LMIs -Bounded Real Lemma)
 Illustrative examples
4 Uncertainty and robustness
Representing uncertainties: unmodelled dynamics, frequency forms, unstructured uncertainties
Parametric uncertainties, LFT forms, structured uncertainties
Robust stability analysis: M
structure, small gain theorem
Robust stability for unstructured uncertainties.
Robust performance analysis: A simplied Hinf criterion,
Introduction to mu-analysis – structured uncertainties

5 Introduction to LMIs
What is an Linear Matrix Inequality ? Brief optimisa-
tion background, Denition
Stability issue: From Lyapunov equation to LMIs
Control design: problem formulation: Example on
State feedback
6 Short introduction to LPV systems
Denition of Linear Parameter Varying systems, stability issue, control design
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http://ense3.grenoble-inp.fr/en/academics/non-linear-and-robust-controls-5eus5cnl Ability for design and analysis of Hinfinity controlllers, robustness analysis, and the limits of the linearization, the analytical tools for nonlinear stability, and the basic principles of feedback control nonlinear state. Grenoble INP Institute of Engineering Univ. Grenoble Alpes Grenoble – Polygone scientifique Ability for design and analysis of Hinfinity controlllers, robustness analysis, and the limits of the linearization, the analytical tools for nonlinear stability, and the basic principles of feedback control nonlinear state. Linear Systems, Transfer and state space approach, frequency and time-domain analysis Olivier Sename 5 2nd year of master Lecture Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
– April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
– September 1st, 2020 for Spring Semester intake (February – June). Exam
Homework
Project reports
Individual evaluation in Matlab tutorials international.cic_tsukuba@grenoble-inp.fr