UPValenciaX: Dynamics and Control

by Universitat Politècnica de València

Course Description

This interactive course delves into the basic concepts of systems and control, underscoring their significance across various human endeavors. Initially, it introduces foundational ideas of system dynamics, structures, and control. Through numerous examples from nature and engineered devices, the course illustrates how dynamic behaviors of systems can be modified with control systems. It covers methods to assess system performance and design new systems that meet specific requirements. By exploring the benefits and future challenges of control systems, the course aims to inspire innovative applications and development across different scales—from microsystems to universal interactions.

What Students Will Learn

Analyze the dynamic properties of systems and explore methods to alter their behavior to meet specific needs.
Grasp fundamental concepts necessary for advanced studies in control engineering.
Understand the application of control systems across varied disciplines, including social sciences and all engineering branches.

Prerequisites

While a basic knowledge of physics is advantageous, it is not mandatory. The course minimizes mathematical complexity and instead focuses on conceptual understanding, making use of general operator concepts and variable relationships.

Course Content

Introduction to Systems and Control
Dynamics of Systems: Understanding and Modification
Performance Measurement and System Design
Real-world Applications and Case Studies
Future Challenges and Innovations in Control Systems
Overview of Advanced Techniques in Control Engineering

Who This Course is For

This course is tailored for beginners and those interested in gaining a foundational understanding of control systems. It is suitable for students from various disciplines, including engineering, social sciences, and anyone curious about the dynamic behavior of systems and their control.

Application of Learned Skills in the Real World

Knowledge from this course can be applied across multiple real-world scenarios:

Engineering solutions involving automation and improved system efficiencies.
Development of smarter, adaptive technologies in areas such as robotics and aerospace.
Enhanced analysis and design approaches that can be applied to socio-economic models and ecological systems.
Innovating scalable solutions from microsystems to large-scale industrial systems.

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