To show the organization of the course that includes this module, follow this link Course organization
|Tuesday||11:30 AM - 1:30 PM||lesson||Lecture Hall I|
|Wednesday||10:30 AM - 12:30 PM||lesson||Lecture Hall I|
Develop the competence in analysis and synthesis of linear, time invariant, systems base on the state representation approach. The students will learn concepts such as state observability, controllability, estimation and control.
This course assumes that student have a background on classical system analysis, that they are familiar with Laplace, Fourier and Zeta transforms, and that they can address the graphical representation of such systems.
State representation of dynamic systems:
- analysis in continuous and discrete time domain
- state evolution
- canonical realization
- state observability of controllability
- control with state feedback
- state estimation
- optimal control
- optimal estimation
Written test. During the course, two intermediate tests will be offered that can replace, in full or in part, the written test.
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