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Sakthivel N. K.,Sutha S. 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
A successful zero-voltage switching scheme for a grid-tied single-stage flyback inverter, as well as the initiation of an Adaptive Fruit Fly Optimization (AFFO) algorithm based on PID Controller, has been put forward. To achieve soft switching, the grid side negative current follows the path of secondary bidirectional switches. As a result, the output capacitor of the MOSFET is discharged. To achieve Zero voltage, this function turns on the primary switch. As a result, optimising the reactive current level for zero voltage switching is critical. A PID Controller-based iteration of an Adaptive Fruit Fly Optimization (AFFO) algorithm is put forward. To provide soft switching, the grid side negative current follows the path of secondary bidirectional switches. As a result, the output capacitor of the MOSFET is discharged. This function activates the primary switch, causing it to turn on. At which the ZVS triggering takes place in the switches, with the adjustment of AFFO based PID controller’s parameters. An enhanced manner of PWM pulses is generated. The bidirectional switches in the primary and secondary sides of the flyback inverter are fed with pulses, thereby the switching losses are reduced by eliminating harmonics. The proposed work is designed with MATLAB/Simulink. A 24 V, 325-W prototype is performed to authenticate the proposed model.
Controllability of non-linear impulsive stochastic systems
Sakthivel, R.,Mahmudov, N. I.,Lee, Sang-Gu Taylor Francis 2009 International Journal of Control Vol.82 No.5
<P> In this article, we consider the finite-dimensional dynamical control systems described by non-linear impulsive stochastic differential equations. Sufficient conditions for the complete and approximate controllability of non-linear impulsive stochastic systems are formulated and proved under the natural assumption that the corresponding linear system is appropriately controllable.</P>
On the approximate controllability of semilinear fractional differential systems
Sakthivel, R.,Ren, Yong,Mahmudov, N.I. Elsevier 2011 COMPUTERS & MATHEMATICS WITH APPLICATIONS - Vol.62 No.3
<P><B>Abstract</B></P><P>Fractional differential equations have wide applications in science and engineering. In this paper, we consider a class of control systems governed by the semilinear fractional differential equations in Hilbert spaces. By using the semigroup theory, the fractional power theory and fixed point strategy, a new set of sufficient conditions are formulated which guarantees the approximate controllability of semilinear fractional differential systems. The results are established under the assumption that the associated linear system is approximately controllable. Further, we extend the result to study the approximate controllability of fractional systems with nonlocal conditions. An example is provided to illustrate the application of the obtained theory.</P>
Inverse problems for the phase field system with one observation
Baranibalan, N.,Sakthivel, K.,Balachandran, K.,Kim, J. -H. Taylor Francis 2009 Applicable analysis Vol.88 No.4
<P> First we establish a Carleman estimate with a single observation acting on a subdomain for the phase field system in a bounded domain [image omitted] Then this estimate is successfully used along with certain energy estimates to obtain the stability result for the inverse problem consisting of retrieving a smooth diffusion coefficient in the given system for the dimension [image omitted]</P>
Rakkiyappan, R.,Sakthivel, N.,Park, J.H.,Kwon, O.M. Elsevier [etc.] 2013 Applied mathematics and computation Vol.221 No.-
In this paper, the problem of state estimation for Markovian jumping fuzzy cellular neural networks (FCNNs) using sampled-data with mode-dependent probabilistic time-varying delays is investigated. By developing a delay decomposition approach, the information of the delayed states can be taken into full consideration. By introducing a stochastic variable with a Bernoulli distribution, the information of probability distribution of the time-varying delay is considered and transformed into one with deterministic time-varying delay. The main purpose of this paper is to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally asymptotically stable in the mean square. Based on the Lyapunov-Krasovskii functional including triple integral terms and decomposed integral intervals, delay-distribution-dependent stability criteria are obtained in terms of linear matrix inequalities (LMIs). Finally two numerical examples are given to illustrate the effectiveness of the proposed theoretical results.
Impact Strength of Hybrid Steel Mesh-and-Fiber Reinforced Cementitious Composites
P. B. Sakthivel,A. Ravichandran,N. Alagamurthi 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.5
Large volumes of concrete are produced for construction purposes which creates sustainability issues. Therefore, some of the alternatives to concrete that are being researched and implemented are Steel Mesh Reinforced Cementitious Composites (SMRCC) and Fiber Reinforced Cementitious Composites (FRCC). But due to limitations in element thickness and volume percentage of reinforcement in SMRCC and FRCC, this study has made an attempt to develop Hybrid Steel Mesh-and-Fiber Reinforced Cementitious Composites (HSMFRCC) and study its impact performance. Thus, in order to evaluate the energy absorption of HSMFRCC, 250 mm × 250 mm × 25 mm (thick) slab elements were cast with various combinations of 3-5 layers of steel weld mesh and SS fibers of 0.5-2.5% (of volume of specimens) and low velocity repeated drop weight impact test was administered. From the experimental results, it was found that the impact resistance of HSMFRCC (test specimens) is higher than SMRCC (control specimens using only steel mesh as reinforcement). Regression models have been developed in this study and validated using new hybrid mesh and fiber reinforcement mix. The predicted regression equations developed for initial and ultimate impact energy absorption of cementitious composites with hybrid steel mesh and fibers will be quite useful to the practitioners.