Quote: "Control engineering or control systems engineering is an engineering discipline that deals with control systems, applying control theory to design equipment and systems with desired behaviors in control environments."
The study of controlling systems and processes.
System Modeling: Understanding how to develop mathematical models to describe the behavior of physical systems, such as mechanical systems, electrical systems, and fluid systems.
Control Systems: Developing an understanding of control systems, including open-loop and closed-loop control systems and what types of systems are suited for each.
Feedback Control: Understanding the use of feedback control in systems, including how to design and implement control algorithms that use feedback signals to adjust system behavior.
Stability and Robustness: Learning how to analyze stability and robustness of control systems, including how to design systems that are stable under different operating conditions.
System Dynamics: Understanding the dynamics of physical systems, including how to model and analyze transient and steady-state behavior.
Electrical Control Systems: Developing an understanding of electrical control systems, including circuits, devices, and instrumentation.
Sensors and Actuators: Learning about sensors and actuators used in control systems, including their characteristics and how they are used in control applications.
Control System Design: Learning how to design control systems to meet specific performance requirements, including weighting function design, and stability analysis.
Control Optimization: Learning how to optimize control systems, including model-based and optimization-based techniques.
State Space Analysis: Developing an understanding of state space analysis, including how to use state space models to analyze and design control systems.
Nonlinear Control: Understanding nonlinear control systems and their challenges, including the challenges of modeling, designing, and implementing nonlinear control algorithms.
Feedback Control Design: Learning how to design and implement feedback control algorithms, including proportional-integral-derivative (PID) controllers.
Control System Simulation: Learning how to simulate control systems, including the use of simulation software to model and analyze system behavior.
Time-Domain and Frequency-Domain Analysis: Learning how to analyze control systems in both the time domain and frequency domain, including Laplace transforms and frequency response analysis.
Optimal Control: Developing an understanding of optimal control, including different approaches such as linear quadratic control and model predictive control.
Feedback control: A type of control system in which the output is sampled and compared with the desired input, and the difference is used as the basis for adjusting the system.
Feedforward control: A type of control system in which the input is predicted based on past behavior, and the system is adjusted accordingly.
PID control: A type of feedback control system that uses proportional, integral, and derivative terms to adjust the output and minimize error.
Adaptive control: A type of control system that continuously adjusts parameters in response to changes in the system or environment.
Robust control: A type of control system that is designed to be stable and perform well even in the face of varying conditions or unexpected disturbances.
Model predictive control: A type of control system that uses a model of the system to predict future behavior and optimize the control variables accordingly.
Optimal control: A type of control system that seeks to minimize a particular cost or objective function while controlling the system.
Digital control: A type of control system that uses digital electronics to process signals and adjust the system.
Nonlinear control: A type of control system designed to deal with the complex dynamics of nonlinear systems.
Fuzzy control: A type of control system that uses fuzzy logic to adjust the system in response to imprecise or uncertain inputs.
Multi-variable control: A type of control system that controls multiple inputs to a system at the same time.
Hierarchical control: A type of control system that uses multiple levels of control to manage a complex system with many inputs and outputs.
Distributed control: A type of control system that uses multiple controllers located throughout a system to manage different aspects of the system.
Supervisory control: A type of control system that manages multiple lower-level controllers to ensure that they are working together to meet a desired goal or objective.
Adaptive fuzzy control: A type of control system that combines the adaptiveness of adaptive control with the ambiguity of fuzzy logic to manage complex and uncertain systems.
Quote: "Control engineering applies control theory to design equipment and systems with desired behaviors in control environments."
Quote: "The discipline of controls overlaps and is usually taught along with electrical engineering and mechanical engineering at many institutions around the world."
Quote: "The practice uses sensors and detectors to measure the output performance of the process being controlled."
Quote: "These measurements are used to provide corrective feedback helping to achieve the desired performance."
Quote: "Systems designed to perform without requiring human input are called automatic control systems."
Quote: "Multi-disciplinary in nature, control systems engineering activities focus on implementation of control systems mainly derived by mathematical modeling of a diverse range of systems."
Quote: "Control systems engineering activities focus on implementation of control systems mainly derived by mathematical modeling of a diverse range of systems."
Quote: "Control systems engineering activities focus on implementation of control systems mainly derived by mathematical modeling of a diverse range of systems."
Quote: "Control engineering uses control theory to design equipment and systems with desired behaviors in control environments."
Quote: "The practice uses sensors and detectors to measure the output performance of the process being controlled."
Quote: "The discipline of controls overlaps and is usually taught along with electrical engineering and mechanical engineering at many institutions around the world."
Quote: "Control systems engineering activities focus on implementation of control systems mainly derived by mathematical modeling of a diverse range of systems."
Quote: "Control systems are equipment and systems designed using control theory with desired behaviors in control environments."
Quote: "Systems designed to perform without requiring human input are called automatic control systems."
Quote: "Sensors and detectors are used to measure the output performance of the process being controlled."
Quote: "Control theory is applied to design equipment and systems with desired behaviors in control environments."
Quote: "Corrective feedback is used to help achieve the desired performance."
Quote: "Control engineering designs equipment and systems with desired behaviors in control environments."
Quote: "Control engineering or control systems engineering is an engineering discipline that deals with control systems."