Control of Mechanical Systems

Graduate Course (taught yearly during the 1st semester), MEC2358 - CONTROLE DE SISTEMAS MECANICOS, 2019

Master the skills necessary to design closed-loop systems tipically found in mechanical applications such as servomechanisms and vibration mitigation.


The goals of the course are to get proficient with

  • The design of linear control loop systems using frequency and time domain methods
  • Model predictive control for nonlinear systems and its hyerarchical formulations

in applications typical of Mechanical Engineering, such as servomechanisms and vibration mitigation.


  • Representations for linear and nonlinear dynamic systems
  • Analysis of dynamic systems
  • Root locus
  • Pole placement
  • Model predictive control
  • Mechanical Engineering applications of feedback systems


The evaluation will be

  • Written exams
  • Final project (presentation + report)


ASTROM, K.; WITTENMARK, B. Computer-controlled systems. 3rd Ed. Upper Saddle River, NJ: Prentice Hall, 1997.

DORF, R. C.; BISHOP, R. H. Modern Control Systems, 12th Ed. Upper Saddle River, NJ: Prentice Hall, 2011.

FRANKLIN, G. F.; POWELL, J. D.; EMAMI-NAEINI, A. Feedback Control of Dynamic Systems. 8a Ed. New York, NY: Pearson, 2019.

NISE, N. S. Control Systems Engineering. 7th Ed. John Wiley & Sons: Hoboken, NJ, USA, 2015.

OGATA, K. Modern control engineering. 5th Ed. Upper Saddle River, NJ: Prentice Hall, 2010.

RAWLINGS, J. B.; MAYNE, D. Q.; DIEHL, M. M. Model Predictive Control: Theory, Computation, and Design. Nob Hill Publishing, LLC, Madison, Wisconsin, USA, 2nd edition, 2017.

Invited Talks/Seminars

Eng. Reneu Andrioli (Embraer): Modelagem e Leis de Controle de Sistemas Aeronáuticos

Previous exams

2022.1 (undergrad)

Exam 1Exam 1 Solutions

2021.2 (undergrad)

Exam 1

System description



Part A

Part B

Exam 2

Part A

Part B


Exam 1

Exam 3


Exam 1

Exam 2


Exam 1Exam 1 Solutions
Exam 2Exam 2 Solutions