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Reliable dissipative control of high-speed train with probabilistic time-varying delays
Kaviarasan, B.,Sakthivel, R.,Shi, Y. Informa UK (TaylorFrancis) 2016 International Journal of Systems Science Vol.47 No.16
<P>This paper investigates the reliable dissipative control problem for high-speed trains (HSTs) under probabilistic time-varying sampling with a known upper bound on the sampling intervals. In particular, random variables obeying the Bernoulli distribution are considered to account for the probabilistic time-varying delays. Based on Lyapunov-Krasovskii functional approach which considers full use of the available information about actual sampling pattern, a new set of sufficient condition is established to guarantee that the HST can well track the desired speed and the relative spring displacement between the two neighbouring carriages is asymptotically stable and the corresponding error system is strictly (Q, S, R)-dissipative. The existence condition of the dissipativity-based reliable sampled-data controller is obtained in terms of a set of linear matrix inequalities which are delay-distribution-dependent, i.e. the solvability of the condition depends on not only the variation range of the delay but also the probability distribution of it. Moreover, different control processes for the HST system can be obtained from the proposed design procedure and hence it can reduce the time and cost. Finally, the effectiveness and benefits of the proposed control law is demonstrated through a numerical example by taking the experimental values of Japan Shinkansen HST.</P>
Robust fault-tolerant control for power systems against mixed actuator failures
Kaviarasan, B.,Sakthivel, R.,Kwon, O.M. Elsevier Ltd 2016 NONLINEAR ANALYSIS HYBRID SYSTEMS Vol.22 No.-
<P>This paper employs linear matrix inequality (LMI) based optimization algorithm to develop a method for designing fault-tolerant state feedback controller with mixed actuator failures for power systems subject to random changes. Meanwhile, the random abrupt changes are determined by a finite set Markov chain so the considered system is equivalently represented as a discrete-time Markov jump linear system (MJLS). Further, due to the variations of loading conditions in power system, an uncertainty term is incorporated to MJLS. For the proposed system, we construct a novel actuator fault model containing both linear and nonlinear terms which is more general than the conventional actuator fault models. The main purpose of this paper is to design the robust fault-tolerant controller such that for all possible actuator failures, time-varying delays and admissible parameter uncertainties, the closed-loop uncertain discrete-time MJLS is robustly stochastically stable. Based on free-weighting matrix approach and linear matrix inequality theory, anew set of sufficient conditions that guaranteeing the robust stochastic stability is presented by choosing an appropriate Lyapunov-Krasovskii functional candidate. In addition, a single-machine infinite-bus (SMIB) power system is considered as an application example and its simulation results demonstrate the effectiveness of the proposed design techniques. (C) 2016 Elsevier Ltd. All rights reserved.</P>
Disturbance-observer-based control for synchronization of complex dynamical networks
Boomipalagan Kaviarasan,Oh-Min Kwon 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
Using the disturbance observer method, an elegant synchronization control law is proposed for complex dynamical networks with constant coupling delay and multiple disturbances. To be more specific, the network is affected by two types of disturbances: (i) unknown and produced by exogenous systems, and (ii) norm-bounded. The goal is to estimate the unknown disturbance by designing a disturbance observer that combines with the proposed feedback controller to ensure network synchronization. Sufficient conditions for the desired synchronization are then derived and expressed as linear matrix inequalities using the augmented Lyapunov-Krasovskii functional and Wirtinger’s integral inequality. A simulation example based on the F-18 aircraft model is presented to validate the correctness of the developed theoretical results.
Fault-tolerant SMC for Takagi–Sugeno fuzzy systems with time-varying delay and actuator saturation
Selvaraj, Palanisamy,Kaviarasan, Boomipalagan,Sakthivel, Rathinasamy,Karimi, Hamid Reza IET 2017 IET CONTROL THEORY AND APPLICATIONS Vol.11 No.8
<P>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.</P>
Synchronization and state estimation for stochastic complex networks with uncertain inner coupling
Sakthivel, R.,Sathishkumar, M.,Kaviarasan, B.,Marshal Anthoni, S. Elsevier 2017 Neurocomputing Vol.238 No.-
<P><B>Abstract</B></P> <P>This paper addresses the synchronization and state estimation problems for an array of coupled discrete-time stochastic complex networks (SCNs) with uncertain inner couplings in which time-varying delay is considered both in the network couplings and dynamical nodes. In particular, the uncertainties encountering in coupling terms are characterized by using the interval matrix approach. By constructing a suitable Lyapunov–Krasovskii functional and utilizing Kronecker product properties, a new set of sufficient conditions is established in terms of linear matrix inequalities to guarantee the synchronization of the addressed SCNs with a prescribed mixed <I>H</I> <SUB>∞</SUB> and passivity performance index. Moreover, the state estimation problem is then studied for the same SCNs with uncertain inner coupling strength and subsequently, the estimator is designed. More precisely, Schur complement, discrete-time Jensen’s inequality together with reciprocally convex combination approach are used to simplify the derivations in the main results. Finally, numerical examples are exploited to illustrate the effectiveness of the proposed synchronization and state estimation results.</P>
Sakthivel, R.,Saravanakumar, T.,Kaviarasan, B.,Lim, Yongdo Pergamon 2017 Journal of the Franklin Institute Vol. No.
<P><B>Abstract</B></P> <P>This work deals with the problem of robust finite-time dissipativity based fault-tolerant controller design for a class of Takagi–Sugeno (T–S) fuzzy systems in a network environment against system uncertainties, external disturbances and nonlinear actuator failures. Specifically, an actuator fault model consisting both linear and nonlinear faults is developed during the reliable control design. By employing Lyapunov technique together with Wirtinger based integral inequalities, a new set of delay-dependent sufficient conditions is established which assures that the resulting closed-loop system is finite-time bounded and finite-time ( Q , S , R ) − μ dissipative. Based on the established sufficient conditions, the reliable control design parameters are determined by solving a set of linear matrix inequalities (LMIs). Moreover, the performances of <I>H</I> <SUB>∞</SUB>, sector bounded and mixed <I>H</I> <SUB>∞</SUB> and passivity can be obtained as the special cases from the established result. In the end, two numerical examples, one of them is based on a mass-spring-damper system in a network environment, are presented to display the effectiveness, less conservativeness and advantage of the developed design technique.</P>
Anuradha, Carani V,Kaviarasan, Subramanian Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.3
The present study was designed to estimate the protective effect of (-) epigallocatechin gallate (EGCG) on ethanol-induced liver injury in rats. Chronic ethanol administration (6 g/kg/day ${\times}$ 60 days) caused liver damage that was manifested by the elevation of markers of liver dysfunction - aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, lactate dehydrogenase, bilirubin and ${\gamma}$-glutamyl transferase in plasma and reduction in liver glycogen. The activities of alcohol metabolizing enzymes such as alcohol dehydrogenase and aldehyde dehydrogenase were found to be altered in alcohol-treated group. Ethanol administration resulted in the induction of cytochrome p450 and cytochrome-$b_{5}$ activities and reduction of cytochrome-c reductase and glutathione-S-transferase, a phase II drug metabolizing enzyme. Further, ethanol reduced the viability of isolated hepatocytes (ex vivo) as assessed by trypan blue exclusion test and induced hepatocyte apoptosis as assessed by propidium iodide staining. Treatment of alcoholic rats with EGCG restored the levels of markers of liver injury and mitigated the alterations in alcohol metabolizing and drug metabolizing enzymes and cyt-c-reductase. Increased hepatocyte viability and reduced apoptotic nuclei were observed in alcohol + EGCG-treated rats. These findings suggest that EGCG acts as a hepatoprotective agent against alcoholic liver injury.
Sakthivel, Rathinasamy,Sakthivel, Ramalingam,Kaviarasan, Boomipalagan,Wang, Chao,Ma, Yong-Ki Hindawi Limited 2018 Complexity Vol.2018 No.-
<P>The problem of robust nonfragile synchronization is investigated in this paper for a class of complex dynamical networks subject to semi-Markov jumping outer coupling, time-varying coupling delay, randomly occurring gain variation, and stochastic noise over a desired finite-time interval. In particular, the network topology is assumed to follow a semi-Markov process such that it may switch from one to another at different instants. In this paper, the random gain variation is represented by a stochastic variable that is assumed to satisfy the Bernoulli distribution with white sequences. Based on these hypotheses and the Lyapunov-Krasovskii stability theory, a new finite-time stochastic synchronization criterion is established for the considered network in terms of linear matrix inequalities. Moreover, the control design parameters that guarantee the required criterion are computed by solving a set of linear matrix inequality constraints. An illustrative example is finally given to show the effectiveness and advantages of the developed analytical results.</P>
Carani V Anuradha,Subramanian Kaviarasan 경희대학교 융합한의과학연구소 2007 Oriental Pharmacy and Experimental Medicine Vol.7 No.3
The present study was designed to estimate the protective effect of (-) epigallocatechin gallate (EGCG) on ethanol-induced liver injury in rats. Chronic ethanol administration (6 g/kg/day × 60 days) caused liver damage that was manifested by the elevation of markers of liver dysfunction - aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, lactate dehydrogenase, bilirubin and γ-glutamyl transferase in plasma and reduction in liver glycogen. The activities of alcohol metabolizing enzymes such as alcohol dehydrogenase and aldehyde dehydrogenase were found to be altered in alcohol-treated group. Ethanol administration resulted in the induction of cytochrome p450 and cytochrome-b5 activities and reduction of cytochrome-c reductase and glutathione-S-transferase, a phase II drug metabolizing enzyme. Further, ethanol reduced the viability of isolated hepatocytes (ex vivo) as assessed by trypan blue exclusion test and induced hepatocyte apoptosis as assessed by propidium iodide staining. Treatment of alcoholic rats with EGCG restored the levels of markers of liver injury and mitigated the alterations in alcohol metabolizing and drug metabolizing enzymes and cyt-c-reductase. Increased hepatocyte viability and reduced apoptotic nuclei were observed in alcohol + EGCG-treated rats. These findings suggest that EGCG acts as a hepatoprotective agent against alcoholic liver injury.