May 1, 2024
4 minute read
Control engineering is a branch of electrical engineering that deals with the design and implementation of systems that regulate, command, or direct other devices or systems. Control engineers use their knowledge of mathematics, physics, and engineering to design systems that can operate autonomously or in response to external inputs. Control engineering is used in a wide variety of applications, including industrial automation, robotics, aerospace, and medical devices.
Why study Control Engineering?
There are many reasons to study control engineering. Some of the most common reasons include:
mlav2r|
Find a path to becoming a Control Engineering. Learn more at:
OpenCourser.com/topic/mlav2r/control
Reading list
We've selected ten 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
Control Engineering.
Provides a comprehensive overview of classical and modern control engineering, covering topics such as feedback control systems, state-space methods, and optimal control.
Provides a comprehensive treatment of optimal control and estimation, covering topics such as dynamic programming, model predictive control, and Kalman filtering.
Provides a comprehensive treatment of nonlinear control systems, covering topics such as stability, performance, and robustness.
Provides a comprehensive treatment of system dynamics and control, covering topics such as modeling, analysis, and design.
Provides a comprehensive treatment of control systems, covering topics such as feedback control systems, state-space methods, and optimal control.
Provides a comprehensive treatment of robust control design, covering topics such as H-infinity control, LMI methods, and μ-synthesis.
Provides a comprehensive treatment of control systems design, covering topics such as feedback control systems, state-space methods, and optimal control.
Provides a comprehensive treatment of control of uncertain systems, covering topics such as robust control, adaptive control, and sliding mode control.
Provides a comprehensive treatment of predictive control with constraints, covering topics such as model predictive control, generalized predictive control, and nonlinear predictive control.
Provides a comprehensive treatment of control theory, covering topics such as classical control, modern control, and optimal control.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/mlav2r/control
Save
