Dynamic output feedback control for nonlinear large-scale interconnected systems

Abstract

Purpose This paper aims to focus on the design of a decentralized observation and control method for a class of large-scale systems characterized by nonlinear interconnected functions that are assumed to be uncertain but quadratically bounded. Design/methodology/approach Sufficient conditions, under which the designed control scheme can achieve the asymptotic stabilization of the augmented system, are developed within the Lyapunov theory in the framework of linear matrix inequalities (LMIs). Findings The derived LMIs are formulated under the form of an optimization problem whose resolution allows the concurrent computation of the decentralized control and observation gains and the maximization of the nonlinearity coverage tolerated by the system without becoming unstable. The reliable performances of the designed control scheme, compared to a distinguished decentralized guaranteed cost control strategy issued from the literature, are demonstrated by numerical simulations on an extensive application of a three-generator infinite bus power system. Originality/value The developed optimization problem subject to LMI constraints is efficiently solved by a one-step procedure to analyze the asymptotic stability and to synthesize all the control and observation parameters. Therefore, such a procedure enables to cope with the conservatism and suboptimal solutions procreated by optimization problems based on iterative algorithms with multi-step procedures usually used in the problem of dynamic output feedback decentralized control of nonlinear interconnected systems.

Determination of Polycyclic Aromatic Hydrocarbons in Coal from the Kuznetsk Coal Basin by Means of GC/MS and GC/GC-FID

“…Thus, the authors of [2] report on the concentrations of total extractable hydrocarbons, 16 PAHs pollutants of priority, 27 alkylated PAHs and sulfur-containing aromatic compounds, as well as separate biomarkers (hopanoids and steranes) in 15 coal types along the metamorphism series from lignite to anthracite. Organic compounds were extracted with dichloromethane at room temperature.…”

“…The yield of biomarkers, hopanoids and steranes also varied depending on coal rank, reaching a maximum for highly volatile bituminous coal samples, and was low in comparison with PAHs. The obtained results were used by the authors to determine the source of soil contamination because solid coal often occurs together with other sources of hydrocarbons in soils and sediments [2].…”