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System, Cycle, Structure, Complexity, Growth, Control, Disturbance, Entropy, Chaos


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Control Engineering Virtual Library (WWW Virtual Library, Department of Engineering, University of Cambridge)


control : to exercise restraining or directing influence over — Webster See also Dictionary of Cybernetics and Systems (Principia Cybernetica), OneLook, Free Dictionary, Wiktionary, Urban Dictionary


Roget’s II (, Merriam-Webster Thesaurus, Visuwords


Control engineering is an discipline that applies automatic control theory to design systems with desired behaviors in control environments. The discipline of controls overlaps and is usually taught along with electrical engineering at many institutions around the world. The practice uses sensors and detectors to measure the output performance of the process being controlled; these measurements are used to provide corrective feedback helping to achieve the desired performance. Systems designed to perform without requiring human input are called automatic control systems (such as cruise control for regulating the speed of a car). 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. — Wikipedia



Understanding Control Systems (YouTube Channel)


Control theory deals with the control of continuously operating dynamical systems in engineered processes and machines. The objective is to develop a control model for controlling such systems using a control action in an optimum manner without delay or overshoot and ensuring control stability.

To do this, a controller with the requisite corrective behaviour is required. This controller monitors the controlled process variable (PV), and compares it with the reference or set point (SP). The difference between actual and desired value of the process variable, called the error signal, or SP-PV error, is applied as feedback to generate a control action to bring the controlled process variable to the same value as the set point. Other aspects which are also studied are controllability and observability. On this is based the advanced type of automation that revolutionized manufacturing, aircraft, communications and other industries. This is feedback control, which is usually continuous and involves taking measurements using a sensor and making calculated adjustments to keep the measured variable within a set range by means of a “final control element”, such as a control valve.

Extensive use is usually made of a diagrammatic style known as the block diagram. In it the transfer function, also known as the system function or network function, is a mathematical model of the relation between the input and output based on the differential equations describing the system. — Wikipedia


Control system is a device, or set of devices, that manages, commands, directs or regulates the behavior of other devices or systems. Industrial control systems are used in industrial production for controlling equipment or machines. There are two common classes of control systems, open loop control systems and closed loop control systems. In open loop control systems output is generated based on inputs. In closed loop control systems current output is taken into consideration and corrections are made based on feedback. A closed loop system is also called a feedback control system. — Wikipedia



(Modern) Control theory dates from the 19th century, when the theoretical basis for the operation of governors was first described by James Clerk Maxwell. Control theory was further advanced by Edward Routh in 1874, Charles Sturm and in 1895, Adolf Hurwitz, who all contributed to the establishment of control stability criteria; and from 1922 onwards, the development of PID control theory by Nicolas Minorsky. Although a major application of control theory is in control systems engineering, which deals with the design of process control systems for industry, other applications range far beyond this. As the general theory of feedback systems, control theory is useful wherever feedback occurs. A few examples are in physiology, electronics, climate modeling, machine design, ecosystems, navigation, neural networks, predator–prey interaction, gene expression, and production theory. — Wikipedia

A Brief History of Automatic Control (Stuart Bennett)


WorldCat, Library of Congress, UPenn Online Books, Open Library



Control Labs (University of Tennessee at Chattanooga)


Control System Lab (Brian Douglas, YouTube Channel)
OER Commons: Open Educational Resources



Control Systems Engineer


Professional Societies (WWW Virtual Library, Deparrtment of Engineering, University of Cambridge)
Control Groups Around the World (WWW Virtual Library, Deparrtment of Engineering, University of Cambridge)


Control Engineering Conferences (WWW Virtual Library, Department of Engineering, University of Cambridge)


IEEE Control Systems Magazine
Journal of Control Science and Engineering
Control Engineering
Control Journals (WWW Virtual Library, Department of Engineering, University of Cambridge)







Control Engineer Joke (Robert E. Buxbaum)


Using Mindstorms in a Control Systems Lab to Impact Next Generation Engineers (Penn State Behrend)


OEDILF: The Omnificent English Dictionary In Limerick Form



IEEE Control Systems - new TOC TOC Alert for Publication# 5488303

  • Human Trust-Based Feedback Control: Dynamically...
    on December 1, 2020 at 12:00 am

    Aomation has become prevalent in the everyday lives of humans. However, despite significant technological advancements, human supervision and intervention are still necessary in almost all sectors of automation, ranging from manufacturing and transportation to disaster management and health care [1]. Therefore, it is expected that the future will be built around human?agent collectives [2] that will require efficient and successful interaction and coordination between humans and machines. It is […]

  • Behavioral Economics for Human-in-the-Loop...
    on December 1, 2020 at 12:00 am

    This century brought interesting challenges and opportunities that derive from the way digital technology is shaping the lives of individuals and society as a whole. A key feature of many engineered systems is that they interact with humans. Rather than solely affecting humans, people often make decisions that affect the engineered system. As an example, when driving cars, people often decide to take a route that differs from that suggested by the navigation system. This information is fed back […]

  • Shared Control Between Pilots and Autopilots: An...
    on December 1, 2020 at 12:00 am

    The 21st century is witnessing large transformations in several sectors related to autonomy, including energy, transportation, robotics, and health care. Decision making using real-time information over a large range of operations (as well as the ability to adapt online in the presence of various uncertainties and anomalies) is the hallmark of an autonomous system. To design such a system, a variety of challenges must be addressed. Uncertainties may occur in several forms, both structured and […]

  • Table of Contents
    on December 1, 2020 at 12:00 am

    Presents the table of contents for this issue of the publication.

  • Human-in-the-Loop Robot Control for Human-Robot...
    on December 1, 2020 at 12:00 am

    The prospect of a collaborative work environment between humans and robotic automation in a manufacturing setting [1] provides the motivation for finding innovative solutions to human-inthe-loop control for safe, efficient, and trustworthy human?robot collaboration (HRC), or HR interaction (HRI), in cyberphysical human systems (CPHSs) [2], [3]. Studies in [4] show that collaborative automation can be beneficial to 90% of approximately 300,000 small-to-medium-scale enterprises in the United […]