2011
DOI: 10.1016/j.mechatronics.2010.10.004
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Experimental study of fractional order proportional derivative controller synthesis for fractional order systems

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Cited by 105 publications
(70 citation statements)
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“…It has been found that in many practical cases, systems can be more adequately described using fractional-order differential equations [1][2][3][4][5][6][7][8][9][10][11]. Furthermore, fractional-order derivatives are excellent instruments for the description of memory and hereditary properties of various materials and processes [12].…”
Section: Introductionmentioning
confidence: 99%
“…It has been found that in many practical cases, systems can be more adequately described using fractional-order differential equations [1][2][3][4][5][6][7][8][9][10][11]. Furthermore, fractional-order derivatives are excellent instruments for the description of memory and hereditary properties of various materials and processes [12].…”
Section: Introductionmentioning
confidence: 99%
“…Now, define the chaos synchronization problem as follows: design an appropriate controller for system (4) such that the state trajectories of the above response system can track the state trajectories of the following drive chaotic system:…”
Section: Problem Statementmentioning
confidence: 99%
“…Although fractional calculus is a more than 300-year-old mathematical tool, its application in physics and engineering, especially in modeling and control, began only recently; for example, microelectromechanical systems [4] and systems consisting of viscoelastic materials [5] can be described more accurately using fractional calculus. Applications of fractional-order control techniques in chaotic systems have also been presented.…”
Section: Introductionmentioning
confidence: 99%
“…We note the rapid growth of the development of algorithms using fractional differentiation, specifically in the field of artificial intelligence. These include, for example, image-processing algorithms [5], the identification of image features [6][7][8], and computer [9][10][11] and experimental [12,13] implementation of fractal proportional-integral-derivative (PID) controllers for industrial control systems.…”
Section: Introductionmentioning
confidence: 99%