We may earn an affiliate commission when you visit our partners.

Feedback Control

Save
May 1, 2024 Updated May 8, 2025 23 minute read

Feedback Control: Guiding Systems to Their Goals

Feedback control is a fundamental concept that describes how systems, both natural and engineered, regulate themselves to achieve and maintain desired conditions. At a high level, it is a process where the current state of a system is measured and compared to a target state, and this comparison (the "feedback") is used to make adjustments that steer the system closer to its target. This might sound abstract, but feedback control is at work all around you, from the simple thermostat in your home to the complex systems that guide spacecraft.

Working in the field of feedback control can be incredibly engaging. Imagine designing the system that keeps a drone stable in windy conditions, or the one that ensures a manufacturing robot places components with pinpoint accuracy. Professionals in this area often find deep satisfaction in understanding complex dynamics, devising clever strategies to manage them, and seeing their designs make tangible differences in efficiency, safety, and performance across a vast array of technologies. The field blends rigorous mathematical theory with hands-on implementation, offering challenges that appeal to both analytical thinkers and practical problem-solvers. It is a domain where continuous learning is key, as new techniques and applications are constantly emerging.

Introduction to Feedback Control

This section aims to provide an accessible entry point into the world of feedback control, establishing its core ideas and underscoring its importance before we delve into more technical aspects.

What is Feedback Control? Simple Definitions and Contrasts

Path to Feedback Control

Take the first step.
We've curated ten courses to help you on your path to Feedback Control. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Feedback Control: by sharing it with your friends and followers:

Reading list

We've selected 24 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Feedback Control.
This advanced text explores the intersection of reinforcement learning and optimal control, a rapidly evolving area. It provides a deep dive into theoretical concepts and algorithms at the cutting edge of research. is for advanced graduate students and researchers working on sophisticated control and learning problems.
Comprehensive and foundational text on Model Predictive Control (MPC), a widely used advanced control technique in industry. It covers the theoretical basis, computational aspects, and design methodologies of MPC. This must-read for graduate students and professionals interested in contemporary control strategies.
This contemporary book explores the connections between data analysis, dynamical systems, and control, reflecting recent trends in the field. It covers techniques like machine learning for control and system identification from data. It is suitable for advanced students and researchers interested in data-driven approaches to feedback control.
This leading graduate-level textbook on the analysis and control of nonlinear systems. It provides a rigorous treatment of stability analysis, feedback stabilization, and other advanced topics in nonlinear control. is essential for those specializing in nonlinear feedback control and key reference in the field.
This modern classic provides a comprehensive introduction to feedback systems from a unified perspective, suitable for a broad audience including scientists and engineers. It covers essential concepts in both the time and frequency domains and is freely available online. is excellent for both gaining a broad understanding and serving as a foundational reference.
This contemporary book provides a unified treatment of robotics, including mechanics, planning, and control. It offers a modern perspective on control relevant to robotic systems and is freely available online. It is particularly useful for students and professionals interested in the application of feedback control in robotics.
This standard graduate-level textbook for robust control, a crucial area for designing controllers that perform well despite uncertainties. It covers advanced analysis and design techniques for multivariable systems. is essential for those looking to deepen their understanding of control under uncertainty and key reference in the field.
Offers a concise yet comprehensive introduction to robust control theory. It covers key concepts and techniques for designing controllers that are insensitive to uncertainty. It is suitable for graduate students and researchers looking for a focused treatment of robust control essentials.
This foundational text on adaptive control, covering techniques for systems with unknown or changing parameters. It provides a comprehensive theoretical treatment and is suitable for graduate students and researchers. is key for those focusing on control systems that can adjust their behavior online.
Known for its accessible writing style and practical approach, this book very popular choice for introductory control systems courses. It emphasizes design and includes many real-world examples and case studies, often incorporating MATLAB. This solid textbook for undergraduates to build a strong foundation in feedback control.
This textbook provides a detailed exploration of optimal control theory and its applications. It covers various methods for solving optimal control problems, including dynamic programming and the calculus of variations. It valuable resource for graduate students and researchers interested in optimization-based control design.
This widely recognized classic textbook offering a comprehensive introduction to continuous-time control systems. It covers fundamental concepts, analysis, and design techniques with numerous examples and MATLAB integration. is commonly used as a primary textbook in undergraduate control systems courses and is an excellent resource for gaining a broad understanding.
A more introductory text by the renowned author Hassan K. Khalil, this book provides a solid foundation in the analysis and design of control systems. It covers essential mathematical tools and concepts with clarity. This good starting point for undergraduate students before delving into more advanced topics.
Offers a broad coverage of modern control systems, suitable for undergraduate students. It includes a variety of examples and emphasizes design and practical applications. It commonly used textbook that helps solidify the understanding of control principles.
Provides a clear introduction to the theory and applications of optimal control. It covers fundamental concepts like the calculus of variations and Pontryagin's maximum principle. It's a good resource for understanding how to formulate and solve optimization problems in control, suitable for graduate students and researchers.
This concise book offers a theoretical introduction to feedback control, focusing on fundamental limitations and robust performance. It provides a rigorous mathematical perspective on control problems. It is best suited for advanced undergraduates or graduate students seeking a deeper theoretical understanding.
Classic text focused on the theoretical foundations of linear systems, which are fundamental to feedback control. It is more mathematically rigorous and is suitable for those looking to deepen their understanding of the underlying principles. It serves as a valuable reference for graduate students and researchers.
Provides a comprehensive overview of optimal control, covering topics such as the calculus of variations, dynamic programming, and optimal estimation. It valuable resource for students and practitioners alike.
Focuses on the modeling and analysis of dynamic systems, which fundamental prerequisite for understanding feedback control. It covers various physical systems and emphasizes developing mathematical models. It is an excellent resource for students needing to strengthen their background in system modeling.
Provides a comprehensive overview of robust control, covering topics such as stability, performance, and design techniques. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of adaptive control, covering topics such as stability, performance, and design techniques. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of feedback control systems, covering topics such as stability, performance, and design techniques. It valuable resource for students and practitioners alike.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser