Article information:To cite this document: Bin Liu , (2016),"Guaranteed cost design for model-based cyber-physical assembly: a convex optimization approach", Assembly Automation, Vol. 36 Iss 3 pp. -Permanent link to this document: http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.
AbstractPurpose -The purpose of this paper is to propose a guaranteed cost control design procedure for model-based cyber-physical assembly systems. In order to reflect the cyber-physical environment, the network-induced delays and disturbances are introduced in the mathematical model.Design/methodology/approach -Based on the linear matrix inequality approach, the guaranteed cost controller is designed such that the guaranteed cost can be satisfied and the corresponding convex optimization algorithm is provided. Moreover, H-infinity theory is employed to deal with the disturbance with the given H-infinity attenuation level.Findings -By constructing appropriate Lyapunov-Krasovskii functionals, delaydependent sufficient conditions are established in terms of linear matrix inequalities and the controller design procedure is given.Originality/value -A simplified cyber-physical assembly model is given, based on which the designed controller can allow us to control the closed-loop cyber-physical assembly systems with the guaranteed cost.