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An Optimal Hybrid Learning Approach for Attack Detection in Linear Networked Control Systems

IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1404-1416页

作者： Haifeng Niu avimanyu sahoo Chandreyee Bhowmick S·Jagannathan Seattle WA 98103 USA School of Electrical and Computer Engineering Oklahoma State UniversityStill WaterOK 74078 USA Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA

A novel learning-based attack detection and estimation scheme is proposed for linear networked control systems(NCS),wherein the attacks on the communication network in the feedback loop are expected to increase network induced delays and packet losses,thus changing the physical system ***,the network traffic flow is modeled as a linear system with uncertain state matrix and an optimal Q-learning based control scheme over finite-horizon is utilized to stabilize the ***,an adaptive observer is proposed to generate the detection residual,which is subsequently used to determine the onset of an attack when it exceeds a predefined threshold,followed by an estimation scheme for the signal injected by the attacker.A stochastic linear system after incorporating network-induced random delays and packet losses is considered as the uncertain physical system *** attack detection scheme at the physical system uses the magnitude of the state vector to detect attacks both on the sensor and the *** maximum tolerable delay that the physical system can tolerate due to networked induced delays and packet losses is also *** have been performed to demonstrate the effectiveness of the proposed schemes.

关键词： Attack detection attack estimation event-triggered control Lyapunov stability networked control system(NCS) optimal control Q-learning

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Development of carbon composite iron ore micropellets by using the microfines of iron ore and carbon-bearing materials in iron making

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International Journal of Minerals,Metallurgy and Materials 2015年第2期22卷 132-140页

作者： Jagannath Pal Satadal Ghorai avimanyu Das National Metallurgical Laboratory Council of Scientific and Industrial Research

Iron ore microfines and concentrate have very limited uses in sintering processes. They are used in pelletization; however, this process is cost intensive. Furthermore, the microfines of non-coking coal and other carbon-bearing materials, e.g., blast-furnace flue dust （BFD） and coke frees, are not used extensively in the metallurgical industry because of operational difficu]ties and handling problems. In the present work, to utilize these microfines, coal composite iron oxide micropellets （2-6 mm in size） were produced through an innovative technique in which lime and molasses were used as binding materials in the micropellets. The micropellets were subsequently treated with CO2 or the industrial waste gas to induce the chemical bond formation. The results show that, at a very high carbon level of 22wt% （38wt% coal）, the cold crushing strength and abrasion index of the micropellets are 2.5-3 kg/cm2 and 5wt%-9wt%, respectively; these values indicate that the pellets are suitable for cold handling. The developed micropellets have strong potential as a heat source in smelting reduction in iron making and sintering to reduce coke breeze. The micropellets produced with BFD and coke fines （8wt%-12wt%） were used in iron ore sin- tering and were observed to reduce the coke breeze consumption by 3%-4%. The quality of the produced sinter was at par with that of the conventional blast-furnace sinter.

关键词： ironmaking microfines non-coking coal iron ore concentrates micropellets pelletizing, waste utilization

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