CONTROL OF ELECTRICAL MOTORS AND VEHICLES (B-C1-C2-E) (25-26)

CEM
2 YEAR II semester 6 CFU
Cristiano M. Verrelli A.Y. 2021-22 to A.Y. 2024-25 (Control of Electrical Machines (B-C-E))
 

 

A.Y. 2025-26 (new name CONTROL OF ELECTRICAL MOTORS AND VEHICLES )
didatticaweb
All syllabi📑

Code:8039782
SSD: ING-INF/04

 

Feedback Control Systems (optE) 25-26 – Mathematics of Feedback Control 26-27

Feedback Control Systems (optE) 25-26 – Mathematics of Feedback Control 26-27
1 YEAR II semester  6 CFU
Cristiano M. VERRELLI since 2017-18
👉(provided by Engineering Sciences)
since 2022-23 to 2024-25 (block B)
since 2025-26 (block optE)
Cristiano M. VERRELLI (4)
Mohamed El Arayshi (2)
2025-26
2026-27 change name: Mathematics of Feedback Control
✅ Syllabus📑

 🧩 Block: E 

📌 Course Code: 8039367 (6 CFU)

🏷 SSD2015: ING-INF/04
🏷 SSD2024:

📑 Grading criteria

https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://didatticaweb.uniroma2.it&size=32  DidatticaWeb

SYLLABUS:

The matrix exponential; the variation of constants formula.

Computation of the matrix exponential via eigenvalues and eigenvectors and via residual matrices. Necessary and sufficient conditions for exponential stability: Routh-Hurwitz criterion. Invariant subspaces.

Impulse responses, step responses and steady state responses to sinusoidal inputs. Transient behaviours. Modal analysis: mode excitation by initial conditions and by impulsive inputs; modal observability from output measurements; modes which are both excitable and observable. Popov conditions for modal excitability and observability. Autoregressive moving average (ARMA) models and transfer functions.

Kalman reachability conditions, gramian reachability matrices and the computation of input signals to drive the system between two given states. Kalman observability conditions, gramian observability matrices and the computation of initial conditions given input and output signals. Equivalence between Kalman and Popov conditions.

Kalman decomposition for non-reachable and non-observable systems.

Eigenvalues assignment by state feedback for reachable systems. Design of asymptotic observers and Kalman filters for state estimation of observable systems. Design of dynamic compensators to stabilize any reachable and observable system. Design of regulators to reject disturbances generated by linear exosystems.

Bode plots. Static gain, system gain and high-frequency gain.

Zero-pole cancellation.

STATISTICS:

A.Y.  Mechatronics students Other courses Students Mechatronics average Other courses average
2019/2020 10 62 24 23
2020/2021 19 25 23 24
2021/2022 13 44 21 22