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DC Field | Value | Language |
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dc.contributor.author | Wei, G | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Shen, B | - |
dc.date.accessioned | 2013-03-25T11:22:16Z | - |
dc.date.available | 2013-03-25T11:22:16Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | International Journal of Robust and Nonlinear Control, 23(7): 815-826, May 2012 | en_US |
dc.identifier.issn | 1049-8923 | - |
dc.identifier.uri | http://onlinelibrary.wiley.com/doi/10.1002/rnc.2788/abstract | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/7326 | - |
dc.description | This is the post-print version of the Article. The official published version can be accessed from the links below - Copyright @ 2012 John Wiley & Sons, Ltd. | en_US |
dc.description.abstract | In this paper, the gain-scheduled control problem is addressed by using probability-dependent Lyapunov functions for a class of discrete-time stochastic delayed systems with randomly occurring sector nonlinearities. The sector nonlinearities are assumed to occur according to a time-varying Bernoulli distribution with measurable probability in real time. The multiplicative noises are given by means of a scalar Gaussian white noise sequence with known variances. The aim of the addressed gain-scheduled control problem is to design a controller with scheduled gains such that, for the admissible randomly occurring nonlinearities, time delays and external noise disturbances, the closed-loop system is exponentially mean-square stable. Note that the designed gain-scheduled controller is based on the measured time-varying probability and is therefore less conservative than the conventional controller with constant gains. It is shown that the time-varying controller gains can be derived in terms of the measurable probability by solving a convex optimization problem via the semi-definite programme method. A simulation example is exploited to illustrate the effectiveness of the proposed design procedures. | en_US |
dc.description.sponsorship | This work was supported in part by the Leverhulme Trust of the UK, the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant GR/S27658/01, the National Natural Science Foundation of China under Grants 61028008, 61134009, 61074016, 61104125 and 60974030, the Shanghai Natural Science Foundation of China under Grant 10ZR1421200, and the Alexander von Humboldt Foundation of Germany. | en_US |
dc.language.iso | en | en_US |
dc.publisher | John Wiley & Sons, Ltd | en_US |
dc.subject | Gain-scheduled control | en_US |
dc.subject | Randomly occurring nonlinearities | en_US |
dc.subject | Time-varying Bernoulli distribution | en_US |
dc.subject | Probability-dependent Lyapunov function | en_US |
dc.subject | Sector-nonlinearity | en_US |
dc.subject | Parameter-varying systems | en_US |
dc.subject | Discrete-time stochastic systems | en_US |
dc.title | Probability-dependent gain-scheduled control for discrete stochastic delayed systems with randomly occurring nonlinearities | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/rnc.2788 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
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