2017
DOI: 10.1007/s11071-017-3432-2
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Control of pendulum tracking (including swinging up) of IPC system using zeroing-gradient method

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Cited by 83 publications
(23 citation statements)
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“…As analyzed above, to minimize the performance index ‖Ċ‖ 2 2 ∕2, we can also define a vector-valued error function as e =̇∈ R n . Following Zhang et al's neural-dynamics method [38,45,55,56], we can seṫe = − e to make e converge to zero exponentially. Thus, we have C̈+Ċ̇+ Ċ= 0.…”
Section: Mke-type Zhang Equivalency (Mke-ze)mentioning
confidence: 99%
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“…As analyzed above, to minimize the performance index ‖Ċ‖ 2 2 ∕2, we can also define a vector-valued error function as e =̇∈ R n . Following Zhang et al's neural-dynamics method [38,45,55,56], we can seṫe = − e to make e converge to zero exponentially. Thus, we have C̈+Ċ̇+ Ċ= 0.…”
Section: Mke-type Zhang Equivalency (Mke-ze)mentioning
confidence: 99%
“…Following Zhang et al. 's neural‐dynamics method , we can set truebold-italicė=λbold-italice to make e converge to zero exponentially. Thus, we have Ctruebold-italicθ¨+Ċtruebold-italicθ̇+λCtruebold-italicθ̇=bold-italic0.…”
Section: Preliminaries and Formulationsmentioning
confidence: 99%
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“…The ZD method is designed based on an indefinite matrix‐/vector‐valued error function, and takes full advantage of the time‐derivative information of time‐varying coefficients. In addition, the ZD method is a powerful method that has been used in many nonlinear systems, such as the Lu chaotic system and the inverted pendulum system . Suppose that y d ( t ) is the desired output, a well‐designed controller should satisfy the condition that the error between y d ( t ) and actual output y ( t ), i.e.…”
Section: Introductionmentioning
confidence: 99%