ADVANCED CIRCUIT ANALYSIS AND DESIGN
Academic Year 2024/2025 - Teacher: SANTI AGATINO RIZZOExpected Learning Outcomes
The course introduces to the fundamentals of circuit simulation and the application of artificial intelligence for sustainable energy transition.
Knowledge and understanding
Basic knowledge of
simulation-oriented circuit equation formulation and solution of linear and
nonlinear circuits.
Basic knowledge of circuit simulators and artificial intelligence techniques.
Basic understanding of problems in circuit simulation and its combination with artificial
intelligence.
Applying knowledge and understanding
The students will be able to properly use circuit simulators and artificial intelligence techniques for optimal circuit design and sustainable energy transition.
Making judgements
The students will be able to choose the simulation and artificial intelligence technique suitable for their application.
Communication skills
The student will learn the technical language of circuit simulation and artificial intelligence. The course includes seminars that allow interaction between students and experts from the industrial fields.
Learning skills
The student will acquire the fundamentals necessary to understand more complex circuit simulation and artificial intelligence topics not covered in the course. This ability will be refined through participation in seminars whose understanding requires the knowledge and understanding of the topics covered by the course.Course Structure
Required Prerequisites
Knowledge of the basics of Linear Algebra and Electrotechnics.
Attendance of Lessons
Class attendance is highly recommended.
Detailed Course Content
L1 - Circuit modelling and simulation
Spice-like simulators and Spice netlists. SIMetrix circuit simulator.
Spice modelling of power electronics devices: application to the Silicon Carbide MOSFET.
Simscape circuit simulator. Interaction with MATLAB for parametric circuits analysis. Integration of Spice netlists in Simscape. Simscape Specialized Power Systems: Load Flow Analyzer.
L2 - Artificial intelligence for sustainable green energy transition
Basic notes of stochastic and deterministic optimization. MATLAB Optimization Toolbox. Circuit and network optimization.
Basic notes of artificial neural network. Artificial neural networks in MATLAB. Artificial neural network applications for renewables and batteries.
Overview of artificial intelligence applications for sustainable green energy transition.
T1 - Overview on Circuit Simulation
Device equations. Equation Formulation. Solution Techniques. Nonlinear Circuits. Dynamic Circuits. Simulation flow of non-linear dynamic circuits.
T2 - Solution of Linear Algebraic Circuit Equations
Reduced Sparse Tableau and Nodal Analysis: from node-based to component-based approach. Modified Nodal Analysis: component-based approach. Reachability matrix for circuits and network analysis. Unique Solvability.
T3 - Solution of Nonlinear Algebraic Circuit Equations
Nonlinear Elements. Nonlinear Modified Nodal Analysis Formulation. Introduction to Nonlinear DC Analysis. Introduction to Newton’s Method. The One-Dimensional Case. Overview of the Multidimensional Case. Basic notes of Quasi-Newton Methods. Overcoming Newton’s Methods in Nonlinear Circuit Simulation.
Textbook Information
(1)
Slides projected during the lessons (available in Studium).
(2) Additional documentation (available in Studium).
(3) Ian Goodfellow, Yoshua Bengio and Aaron Courville, “Deep Learning”, MIT Press, 2016.
(4) Farid N. Najm, “Circuit Simulation”, John Wiley & Sons, 2010.
Course Planning
| Subjects | Text References | |
|---|---|---|
| 1 | Circuit modelling and simulation | (1), (2) |
| 2 | Artificial intelligence for sustainable green energy transition | (1), (2), (3) |
| 3 | Overview on Circuit Simulation | (1), (4) |
| 4 | Solution of Linear Algebraic Circuit Equations | (1), (4) |
| 5 | Solution of Nonlinear Algebraic Circuit Equations | (1), (4) |
Learning Assessment
Learning Assessment Procedures
Oral exam that consists of:
1 or 2 questions about the theory (T in “Detailed Course Content”)
AND
Option a) 1 question about CAD laboratory (L in “Detailed Course Content”)
Option b) discussion of a CAD lab (L) activity assigned during the course
The students should use a laptop in both cases.
To ensure equal opportunities and in compliance with current laws, interested students may request a personal interview in order to plan any compensatory and/or dispensatory measures based on educational objectives and specific needs. Students can also contact the CInAP (Centro per l’integrazione Attiva e Partecipata - Servizi per le Disabilità e/o i DSA) referring teacher within their department.
Examples of frequently asked questions and / or exercises
A list of typical questions is available on Studium.