Control theory Control theory An anticausal system is a system with outputs and internal states that depend solely on future input values. An acausal system is a system that is not a causal system, that is one that depends on some future input values and possibly on some input values from the past or present. This is in contrast to a causal system which depends only on current and/or past input values. This is often a topic of control theory and digital signal processing (DSP). ...more on Wikipedia about "Anticausal system"
In control theory, a continuous linear time-invariant system is asymptotically stable if and only if the system's transfer function has poles (or, equivalently, eigenvalues) only with strictly negative real parts. That is, the poles are in the left half of the complex plane. ...more on Wikipedia about "Asymptotic stability"
In electrical engineering, specifically signal processing and control theory, BIBO Stability is a form of stability for signals and systems. ...more on Wikipedia about "BIBO stability"
Building automation is an intelligent network which monitors and controls the mechanical and lighting systems in a building. The intent is to create a smart building and reduce energy usage and maintenance costs. ...more on Wikipedia about "Building automation"
A causal system is a system with output and internal states that depends only on the current and previous input values. This property is referred to as causality. A system that has some dependence on input values from the future (in addition to possible past or current input values) is termed an acausal system, and a system that depends solely on future input values is an anticausal system. ...more on Wikipedia about "Causal system"
A closed-loop controller uses feedback to control states or outputs of a dynamical system. ...more on Wikipedia about "Closed-loop controller"
In mathematics, the complex plane is a way of visualising the space of the complex numbers. It can be thought of as a modified cartesian plane, with the real part represented in the x-axis and the imaginary part represented in the y-axis. The x-axis is also called the real axis and the y-axis is called the imaginary axis. ...more on Wikipedia about "Complex plane" shortopedia Dreamteam.
A control system is a device or set of devices that manage the behavior of other devices. Some devices or systems are not controllable. ...more on Wikipedia about "Control system"
In engineering and mathematics, control theory deals with the behavior of dynamical systems over time. The desired output of a system is called the reference variable. When one or more output variables of a system need to show a certain behaviour over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. ...more on Wikipedia about "Control theory"
Controllability is an important property of a control system, and the controllability property plays a crucial role in many control problems, such as stabilization of unstable systems by feedback, or optimal control. ...more on Wikipedia about "Controllability"
A controller is the brain component of a system that monitors certain output variables and adjusts other input variables to achieve the desired operation. For example, a house may have a heating system equipped with a controller known as a thermostat. The thermostat senses when the temperature (desired output) in the house is too cold, and starts up the heater (controlled input). After a while, the thermostat senses when the temperature is too hot, and shuts off the heater. ...more on Wikipedia about "Controller (control theory)"
Costate equations are related to the state equations used in control theory. They are stated as a vector of first order differential equations with the right-hand side being the vector of partial derivatives of the negative of the Hamiltonian with respect to the state variables. ...more on Wikipedia about "Costate equations"
Cybernetics is the study of communication and control, typically involving regulatory feedback, in living beings and machines, and in combinations of the two (eg. sociotechnical systems). ...more on Wikipedia about "Cybernetics"
:The term damping factor can also refer to the ratio between a source and load impedance. ...more on Wikipedia about "Damping" My www.shortopedia.com is mine. Control_theory
Data assimilation (DA) is a method used (perhaps most importantly in the weather forecasting process) in which observations of the current (and possibly, past) state of a system are combined with the results from a mathematical model to produce an analysis, which is considered as 'the best' estimate of the current state of the system. In addition to weather forecasting, other uses include trajectory estimation for the Apollo program. ...more on Wikipedia about "Data assimilation"
Deadband is an area of a signal range or band where no action occurs (the system is dead). Deadband is used in voltage regulators, thermostats, and alarms. The purpose is common, to prevent oscillation or repeated activation-deactivation cycles (called 'hunting' in proportional control systems). ...more on Wikipedia about "Deadband"
Digital control is a branch of control theory that uses digital computers to act as a system. ...more on Wikipedia about "Digital control"
(Discretization) where v and w are continuous zero-mean white noise sources with covariances ...more on Wikipedia about "Discretization"
Feed-forward is a term describing a kind of system which reacts to changes in its environment, usually to maintain some desired state of the system. ...more on Wikipedia about "Feed-forward"
In cybernetics and control theory, feedback is a process whereby some proportion or in general, function, of the output signal of a system is passed (fed back) to the input. Often this is done intentionally, in order to control the dynamic behaviour of the system. Feedback is observed or used in various areas dealing with complex systems, such as engineering, architecture, economics, and biology. ...more on Wikipedia about "Feedback"
In control theory, first-order control is when a desired result is attempted by adjusting a scalar (first-order) control. Such mechanisms, where first-order change successfully produces desired results, are called first-order mechanisms. First-order control is contrasted to higher-order control. ...more on Wikipedia about "First-order control"
Fractional order control or (FOC) is a field of control theory that uses the fractional order integrator as part of the control system design toolkit. ...more on Wikipedia about "Fractional order control"
The Hamilton-Jacobi-Bellman (HJB) equation is a partial differential equation which is central to optimal control theory. ...more on Wikipedia about "Hamilton-Jacobi-Bellman equation"
Higher-order control is contrasted to first-order control. In second- and higher-order control, the way the mechanism is used may change. ...more on Wikipedia about "Higher-order control"
(H∞) H infinity or is a method in control theory for the design of optimal controllers. Essentially it is an optimization method, that takes into consideration a strong mathematical definition of the restrictions on the expected behaviour of the closed loop and the strict stability of it. It is noted for its strong mathematical foundation, the mathematical way to express engineering restrictions, its optimization/optimality aspect, and the ability to include both classic and robust control concepts within a single design framework. ...more on Wikipedia about "H∞"
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