Objectives of Programme's Learning Outcomes

• Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
• Master technical English in the field of electrical engineering.
• Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential measurement and control vector in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
• Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
• Implement a chosen system/solution in the form of a schema, a flowchart, an algorithm, a prototype, software and/or digital model.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on signals and systems, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, hardware and software instrumentation, mathematical modelling and analysis of dynamic systems, control methods, more specific applications related to signal processing, and control of biomedical and biological systems.
• Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
• Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
• Master technical English in the field of electrical engineering.

Learning Outcomes of UE

master the basic concepts of optimal control and filtering;
design linear quadratic regulators (LQR);
investigate more general problems, i.e. nonlinear systems and objective functions expressed in a general form possibly including constraints, that can be solved using Pontryagin Maximum Principle;
use basic dynamic optimization and model predictive control algorithms (for example DMC);
understand the stochastic description of dynamic systems and optimal filtering, Kalman filtering, and its several extensions, as well as receding-horizon observers;
work on various applications, including applications in biomedical and biochemical engineering.

Content of UE

linear quadratic regulator (discrete and continuous-time versions); Pontryagin maximum principle; basic algorithms of dynamic optimization and model predictive control; observability of nonlinear systems; basic principles of stochastic system representation; Kalman filtering; receding horizon observer; exercises.

Prior Experience

state space equations, controllability, observability, state feedback, observer

Type of Assessment for UE in Q1

• Oral examination

Q1 UE Assessment Comments

Oral examination relative to exercises (with a written preparation) and theory

Type of Assessment for UE in Q3

• Oral examination

Q3 UE Assessment Comments

Oral examination relative to exercises (with a written preparation) and theory

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable