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RISS 인기검색어
- 검색키워드
- 저자 : Ali Akbar Jalali (검색결과 4 건)
- 무료
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Visible light photo-and bioactivity of Ag/TiO_2 nanocomposite with various silver contents
Ali Akbar Ashkarran,Seyed Mahyad Aghigh,Mona kavianipour,Neda Jalali Farahani 한국물리학회 2011 Current Applied Physics Vol.11 No.4
Ag/TiO_2 nanocomposite with various silver contents was synthesized by combination of sol-gel and the novel arc discharge methods in liquid. The Ag/TiO_2 nanoparticles were characterized by X-Ray diffraction (XRD), Brunauer Emmett Teller (BET), transmission electron microscope (TEM) and ultra violet-visible absorption spectroscopy (UV-Vis). The visible light antibacterial activities and photocatalytic properties were successfully demonstrated for the inactivation of Escherichia coli (E-coli) bacteria and Rhodamine B (Rh. B). The results revealed that the Ag/TiO_2 nanoparticles extended the light absorption spectrum toward the visible region and significantly enhanced the inactivation of E-coli bacteria under visible light irradiation. 0.15 gr Ag/TiO_2 nanoparticles revealed best antibacterial activity while 0.05 gr Ag/TiO_2nanoparticles exhibited highest photocatalytic efficiency. The significant enhancement in the photocatalytic activity and antibacterial properties of Ag/TiO_2 nanoparticles under visible light irradiation can be ascribed to the effect of noble metal Ag by acting as electron traps in TiO_2 band gap. A mechanism for photocatalytic degradation of organic pollutants and antibacterial activity over Ag/TiO_2 nanoparticles was proposed based on our observations.
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Design of Explicit Model Predictive Control for Constrained Linear Systems with Disturbances
Mohammad Ali Mohammadkhani,Farhad Bayat,Ali Akbar Jalali 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.2
On-line model predictive control approaches require the online solution of an optimization problem. In contrast, the explicit model predictive control moves major part of computation offline. Therefore, eMPC enables one to implement a MPC in real time for wide range of fast systems. The eMPC approach requires the exact system model and results a piecewise affine control law defined on a polyhedral partition in the state space. As an important limitation, disturbances may reduce perfor-mance of the explicit model predictive control. This paper presents efficient approach for handling the problem of using eMPC for constrained systems with disturbances. It proposes an approach to improve performance of the closed loop system by designing a suitable state and disturbance estimator. Conditions for observability of the disturbances are considered and it is depicted that applying the disturbance’s estimation leads to rejection of the response error. It is also shown that the proposed approach prevents the reduction of feasible space. Simulation results illustrate the advantages of this approach.
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New H2 Filtering for Descriptor Systems: Singular and Normal Filters
Sahereh Beidaghi,Ali Akbar Jalali,Ali Khaki-Sedigh 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.1
This paper considers the H2 filtering problem for continuous-time descriptor systems by revisiting the H2performance and introducing the new formulation. Differing from previous results, recent note provides solvabilityconditions of the H2 filtering problem with both the singular and the normal filters. The results are introduced asnecessary and sufficient conditions for the singular filters and as sufficient conditions for the normal filters. Theseconditions are extracted without decomposing the original system matrices and are expressed in terms of strict linearmatrix inequalities (LMIs). A numerical example with simulation results is given to illustrate the effectiveness ofthe proposed methods.
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Robust H∞ Filtering for Uncertain Discrete-time Descriptor Systems
Sahere Beidaghi,Ali Akbar Jalali,Ali Khaki-Sedigh,Bijan Moaveni 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
This paper considers the robust H∞ filtering problem for uncertain discrete-time descriptor systems. Aclass of uncertain systems with norm-bounded uncertainties is considered. The necessary and sufficient conditionfor solvability of the robust full-order H∞ filtering is introduced which is generally less conservative than thoseexisting sufficient conditions only. Explicit expressions of these filters are given. In addition to the full-orderfiltering problem, the robust reduced-order H∞ filtering is also addressed by using slack variables technique in newsufficient conditions. The parameters of reduced-order filters are directly extracted from the solvability conditions. All the above conditions are convex and are expressed in term of linear matrix inequalities (LMIs) by using theoriginal system matrices. The results generalize the previously developed H∞ filter design for standard discretetimesystems. A numerical example is presented to demonstrate the effectiveness of the proposed approaches.
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