Chakrabarty, S. ; Bandyopadhyay, B. (2014) N-sigma stability of stochastic systems with sliding mode control Journal of the Franklin Institute, 351 (4). pp. 2232-2242. ISSN 0016-0032
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Official URL: http://doi.org/10.1016/j.jfranklin.2013.03.013
Related URL: http://dx.doi.org/10.1016/j.jfranklin.2013.03.013
Abstract
In this paper, sliding mode control for discrete time systems with stochastic noise in their input channel has been discussed. The idea of process control using control charts has influenced this new approach towards dealing with systems with stochastic noise. The new approach approximates the stochastic noise as a bounded uncertainty, similar to having bounds in the control charts for stochastic process control data. For discrete time systems, this results in a bounded stability in probability of the quasi sliding mode, which is referred to as the N-sigma bounded stability. The probability associated with the stability notions is not fixed and the control engineer may desire lower or higher degrees of stability in terms of this probability. Thus one has design flexibility while implementing the theory in practice, where one might have to adjust the desired degree of stability due to hardware limitations.
Item Type: | Article |
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Source: | Copyright of this article belongs to Elsevier B.V. |
ID Code: | 115381 |
Deposited On: | 17 Mar 2021 07:24 |
Last Modified: | 17 Mar 2021 07:24 |
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