This course objective is to develop robust control tools for systems in the state space from both continuous and discrete perspectives. The structure and components of complex automated systems are also analyzed, as well as advanced programming of automatons and designs of industrial communication networks. Lastly, with the acquired knowledge, the design and development of projects of automated networks are addressed.
The first part of the course is designed to cover theoretical and practical aspects related to the problem of designing advanced controllers for dynamic systems, integrating concepts and methods of Control in the State Space, which can be used to control many industrial systems.
Competencies and learning outcomes
- Autonomous learning capacity within the field of electronic engineering.
- Teamwork skills.
- Be able to manage, analyze, synthesize, and update information.
- Be able to apply the acquired knowledge and resolve problems in multidisciplinary environments.
- Ability to project, calculate, and design products and systems in the field of electronic engineering.
- Be able to implement, direct, and manage manufacturing projects and processes with electronic equipment and systems.
- Ability to conduct research and generate new ideas.
- Know how to communicate conclusions and the latest knowledge and rationale that support them with specialists and non-specialists in a clear and unambiguous manner.
- Ability to analyze distinct subsystems of an advanced electronic product and select the optimum device for its implementation.
- Ability to analyze and design automatic regulation systems and apply control techniques and their applications to industrial automation.
Objectives (Learning outcomes)
- Modeling the behavior of real continuous-time systems and obtaining a discrete-time equivalent model.
- To know the concepts of controlability and observability of dynamic systems and to present the tools based in the state model.
- To design control systems through state feedback.