dc.contributor.author | Denic, S. Z. | en |
dc.contributor.author | Vasic, B. | en |
dc.contributor.author | Charalambous, Charalambos D. | en |
dc.contributor.author | Palanivelu, R. | en |
dc.creator | Denic, S. Z. | en |
dc.creator | Vasic, B. | en |
dc.creator | Charalambous, Charalambos D. | en |
dc.creator | Palanivelu, R. | en |
dc.date.accessioned | 2019-04-08T07:45:36Z | |
dc.date.available | 2019-04-08T07:45:36Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/43285 | |
dc.description.abstract | Uncertainty is an intrinsic phenomenon in control of gene regulatory networks (GRNs). The presence of uncertainty is related to impreciseness of GRN models due to: (1) Errors caused by imperfection of measurement devices and (2) Models' inability to fully capture a complex structure of the GRN. Consequently, there is a discrepancy between actual behaviour of the GRN and what is predicted by its mathematical model. This can result in false control signals, which can drive a cell to an undesirable state. To address the problem of control under uncertainties, a risk-sensitive control paradigm is proposed. Robustness is accomplished by minimisation of the mean exponential cost as opposed to, for instance, minimisation of the mean square cost by risk-neutral controllers. The authors derive an optimal risk-sensitive controller when a GRN is modelled by a context-sensitive probabilistic Boolean network (CSPBN). By using a relation between the relative entropy and free-energy, a relative stability of the cost achieved by the risk-sensitive controller is demonstrated when the distribution of the CSPBN attractors is perturbed, as opposed to the cost of the risk-neutral controller that exhibits increase. The use of the relation between the relative entropy and free-energy to analyse the influence of a particular attractor on the robustness of the controller is studied. The efficiency of the risk-sensitive controller is tested for the CSPBN obtained from the study of malignant melanoma. © The Institution of Engineering and Technology. | en |
dc.source | IET Systems Biology | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-68349137878&doi=10.1049%2fiet-syb.2008.0121&partnerID=40&md5=3ce027f33b2b8de847adc41c738d348a | |
dc.subject | Mathematical models | en |
dc.subject | Computer simulation | en |
dc.subject | Article | en |
dc.subject | Mathematical model | en |
dc.subject | Robustness (control systems) | en |
dc.subject | Controlled study | en |
dc.subject | Malignant melanoma | en |
dc.subject | Logistic models | en |
dc.subject | Gene expression regulation | en |
dc.subject | Probability | en |
dc.subject | Signal transduction | en |
dc.subject | Controllers | en |
dc.subject | Risk sensitive control | en |
dc.subject | Mean square | en |
dc.subject | Relative entropy | en |
dc.subject | Control signal | en |
dc.subject | Uncertainty analysis | en |
dc.subject | Risks | en |
dc.subject | Free energy | en |
dc.subject | Costs | en |
dc.subject | Cell membranes | en |
dc.subject | Complex structure | en |
dc.subject | Context-sensitive | en |
dc.subject | Energy | en |
dc.subject | Engineering exhibitions | en |
dc.subject | Entropy | en |
dc.subject | Gene regulatory network | en |
dc.subject | Gene regulatory networks | en |
dc.subject | In-control | en |
dc.subject | Measurement device | en |
dc.subject | Measurement error | en |
dc.subject | Measurement errors | en |
dc.subject | Models, biological | en |
dc.subject | Probabilistic boolean network | en |
dc.subject | Probabilistic boolean networks | en |
dc.subject | Proteome | en |
dc.subject | Relative stabilities | en |
dc.subject | Robust control | en |
dc.subject | Uncertainty | en |
dc.subject | Undesirable state | en |
dc.title | Robust control of uncertain context-sensitive probabilistic Boolean networks | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1049/iet-syb.2008.0121 | |
dc.description.volume | 3 | |
dc.description.issue | 4 | |
dc.description.startingpage | 279 | |
dc.description.endingpage | 295 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Article | en |
dc.source.abbreviation | IET Syst.Biol. | en |
dc.contributor.orcid | Charalambous, Charalambos D. [0000-0002-2168-0231] | |
dc.gnosis.orcid | 0000-0002-2168-0231 | |