Decision Systems


1) Study and implementation of state-space optimal control techniques together with the design of state observer using the Kalman filter approach;

2) Study of human decision and cognition.

General characterization





Responsible teacher

Paulo José Carrilho de Sousa Gil


Weekly - 4

Total - 99

Teaching language



Students must have frequency from Control Theory and Computer Control.


Decision on Inteligent-Intelegent Control, Hermínio Duarte-Ramos, UNL, 2003 (in Portuguese)

Discrete time optimal control , Paulo Gil, UNL, 2002 (in Portuguese)

Discrete time Kalman Filter, Paulo Gil, UNL, 2002 (in Portuguese)



Optimal Control, Frank Lewis and V. Syrmos, 1995

Adaptive Control, K. Astrom & B. Wittenmark, Addison Wesley, 1995

System Identification, L. Ljung, Prentice-Hall, 1999

Teaching method

1) Theoretic classes

2) Practical /lab classes

Evaluation method

Final Grade = 0,4xP + 0,6xTP/Exam

P, Average from lab work (minimum 10 / 20 )
TP, Evaluation (minimum 10 / 20 )

Required a minimum attendance of 75% in practical classes and minimum of 9.5 out of 20 in both components.

Subject matter


Part I

1. Discrete time optimal control

2. Discrete time Kalman filter


Parte II

1. Technological psicology 

2. Systemic decision model

3. Cognition system models

4. Inteligence vs Intelegence

5. Human awareness

6. A systemic memory model

7. Short term memory properties

8. Long term memory properties

9. Decision and diagnosis

10. Decision and choice

11. Manual Control

12. Inteligent-Intelegent control models


Programs where the course is taught: