Control Tracking Error
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see control theory (sociology) and Perceptual control theory. This article includes a list of references, but its sources remain unclear because it has insufficient inline citations. tracking error control systems Please help to improve this article by introducing more precise citations. (November tracking error in excel 2014) (Learn how and when to remove this template message) A block diagram of a negative feedback control annualized tracking error system. Illustrates the concept of using a feedback loop to control the behavior of a system by comparing its output to a desired value, and applying the difference as tracking error interpretation an error signal to dynamically change the output so it is closer to the desired output Control theory is an interdisciplinary branch of engineering and mathematics that deals with the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. The usual objective of control theory is to control a system, often called the plant, so
Tracking Error Etf
its output follows a desired control signal, called the reference, which may be a fixed or changing value. To do this a controller is designed, which monitors the output and compares it with the reference. The difference between actual and desired output, called the error signal, is applied as feedback to the input of the system, to bring the actual output closer to the reference. Some topics studied in control theory are stability (whether the output will converge to the reference value or oscillate about it), controllability and observability. Extensive use is usually made of a diagrammatic style known as the block diagram. The transfer function, also known as the system function or network function, is a mathematical representation of the relation between the input and output based on the differential equations describing the system. 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 w
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Ex Ante Tracking Error
blog post for more information. Close ScienceDirectSign inSign in using your ScienceDirect tracking error formula credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution loginHelpJournalsBooksRegisterJournalsBooksRegisterSign inHelpcloseSign in using your ScienceDirect tracking error calculation example credentialsUsernamePasswordRemember meForgotten username or password?Sign in via your institutionOpenAthens loginOther institution login Purchase Help Direct export Export file RIS(for EndNote, Reference Manager, ProCite) BibTeX Text https://en.wikipedia.org/wiki/Control_theory RefWorks Direct Export Content Citation Only Citation and Abstract Advanced search JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. This page uses JavaScript to progressively load the http://www.sciencedirect.com/science/article/pii/S0921889007000140 article content as a user scrolls. Click the View full text link to bypass dynamically loaded article content. View full text Robotics and Autonomous SystemsVolume 55, Issue 6, 30 June 2007, Pages 460–469 Tracking-error model-based predictive control for mobile robots in real timeGregor Klančar, Author Vitae, Igor ŠkrjancAuthor Vitae Laboratory of Modelling, Simulation and Control, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, SloveniaReceived 21 December 2005, Revised 4 January 2007, Accepted 24 January 2007, Available online 3 February 2007AbstractIn this paper, a model-predictive trajectory-tracking control applied to a mobile robot is presented. Linearized tracking-error dynamics is used to predict future system behavior and a control law is derived from a quadratic cost function penalizing the system tracking error and the control effort. Experimental results on a real mobile robot are presented and a comparison of the control obtained with that of a time-varying state-feedback controller is given. The proposed controller includes velocity and acceleration constraints to prevent the mobile robot from slipp