Selvaraj Palanisamy

Dr. Selvaraj Palanisamy


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2017 in IET Control Theory & Applications
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Journal Article
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SPSelvaraj Palanisamy
Selvaraj Palanisamy
KAVIARASAN BOOMIPALAGANKAVIARASAN BOOMIPALAGAN
KAVIARASAN BOOMIPALAGAN
SRSakthivel Rathinasamy
Sakthivel Rathinasamy
HKHamid Reza Karimi
Hamid Reza Karimi
This study examines the problem of fault‐tolerant sliding mode control (SMC) design subject to actuator saturation for a class of Takagi–Sugeno fuzzy systems with time‐varying delay and external disturbances. Our main attention is to propose the fault‐tolerant SMC such that for given any initial condition, the system trajectories are forced to reach the sliding surface within a finite time. On the basis of the SM surface and Lyapunov stability theorem, a new set of sufficient conditions in terms of linear matrix inequalities (LMIs) is established to not only guarantee the passivity and asymptotically stability of the resulting closed‐loop system in the designed sliding surface, but also cover the issues of actuator saturation and performance constraints. Then, the desired gain matrix of the fault‐tolerant SMC is obtained in respect of the previously established LMIs such that the reachability of the predefined sliding surface is ensured. It is worth pointing out that the obtained sufficient conditions can preserve the trade‐off between the maximisation of admissible upper bound of time‐varying delay and enlarging the estimation about the domain of attraction for the closed‐loop system. Eventually, the effectiveness and robustness of the proposed control approach are demonstrated via simulation results.

26 October 2017 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
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Journal Article
Closed access
SRSakthivel Rathinasamy
Sakthivel Rathinasamy
SPSelvaraj Palanisamy
Selvaraj Palanisamy
KAVIARASAN BOOMIPALAGANKAVIARASAN BOOMIPALAGAN
KAVIARASAN BOOMIPALAGAN
In this paper, based on the Takagi-Sugeno fuzzy model approach, a novel output feedback control strategy is developed for a class of continuous-time nonlinear time delay systems via modified repetitive control scheme. The main objective of this paper is to design a fuzzy rule-based modified repetitive controller such that the system output can track any given periodic reference signal even in the presence of periodic disturbances. For this purpose, by employing fuzzy-dependent Lyapunov-Krasovskii functional together with the free-weighting matrix technique, a new set of sufficient conditions is presented in terms of linear matrix inequalities to guarantee the robust stability of the resulting closed-loop system. Based on these conditions and using internal model principle, it is shown that the system output tracks the given reference input within the desired error. Finally, two application-oriented examples are presented to validate the obtained theoretical results in which the proposed control design scheme gives better performance over the existing control scheme.

1 April 2019 in Neural Networks
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Journal Article
Closed access
SPSelvaraj Palanisamy
Selvaraj Palanisamy
OKO. M. Kwon
O. M. Kwon
SRSakthivel Rathinasamy
Sakthivel Rathinasamy


1 June 2017 in Journal of the Franklin Institute
Verified
Journal Article
Closed access
SRSakthivel Rathinasamy
Sakthivel Rathinasamy
SPSelvaraj Palanisamy
Selvaraj Palanisamy
YLYongdo Lim
Yongdo Lim
HKH.R. Karimi
H.R. Karimi