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Genetic Relationships of Some Pistacia Species Using RAPD and AFLP Markers
Hamid Reza Karimi,Zabihala Zamani,Ali Ebadi,Mohamad Reza Fatahi 한국원예학회 2009 Horticulture, Environment, and Biotechnology Vol.50 No.6
Genetic diversity of plant species can be evaluated by various methods. The DNA markers are one of the most powerful techniques, because they are not affected by environmental factors as well as plant developmental stages. Markers such as RAPD, AFLP, RFLP and SSR are used for studying genetic diversity of plants. In order to corroborate our results and to minimize the experimental errors, in the present study, AFLP and RAPD markers were used. Genetic similarities (GS) were calculated for both markers using the Jaccard and Dice algorithms. Six AFLP primer combinations used in this study generated 475 scorable bands, of which 336 bands were polymorphic, while the 12 RAPD primers produced 130 bands, of which 118 showed polymorphism. Using Jaccard and Dice algorithms, correlation between the genetic similarity and cophenetic coefficient (CCC) for RAPD marker were 0.82 and 0.77, respectively. In the case of AFLP, CCC was 0.91 and 0.89, respectively. The highest CCCs were calculated with the Jaccard method.
Observer-Based Mixed H₂/H<SUB>∞</SUB> Control Design for Linear Systems with Time-Varying Delays
Hamid Reza Karimi 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.1
This paper presents a convex optimization method for observer-based mixed H₂/H∞ control design of linear systems with time-varying state, input and output delays. Delay-dependent sufficient conditions for the design of a desired observer-based control are given in terms of linear matrix inequalities (LMIs). An observer-based controller which guarantees asymptotic stability and a mixed H₂/H∞ performance for the closed-loop system of the linear system with time-varying delays is then developed. A Lyapunov-Krasovskii method underlies the observer-based mixed H₂/H∞ control design. A nwnerical example with simulation results illustrates the effectiveness of the methodology.
Hamid Reza Karimi 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
In this paper, the problem of robust synchronization and fault detection for a class of master-slave systems subjected to some nonlinear perturbations and mixed neutral and discrete time-varying delays is investigated based on an H∞ performance condition. By introducing a descriptor technique, using Lyapunov-Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-dependent linear matrix inequalities to synthesize the residual generation scheme. The explicit expression of the synchronization law is derived for the fault such that both asymptotic stability and a prescribed level of disturbance attenuation are satisfied for all admissi-ble nonlinear perturbations. A numerical example with simulation results illustrates the effectiveness of the methodology.
Hamid Reza Karimi,Boris Lohmann,Christof Buskens 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.2
This paper presents a delay-dependent approach to robust filtering for linear parameter-varying (LPV) systems with discrete and distributed time-invariant delays in the states and outputs. It is assumed that the state-space matrices affinely depend on parameters that are measurable in real-time. Some new parameter-dependent delay-dependent stability conditions are established in terms of linear matrix inequalities (LMIs) such that the filtering process remains asymptotically stable and satisfies a prescribed H∞ performance level. Using polynomially parameter-dependent quadratic (PPDQ) functions and some Lagrange multiplier matrices, we establish the parameter-independent delay-dependent conditions with high precision under which the desired robust H∞ filters exist and derive the explicit expression of these filters. A numerical example is provided to demonstrate the validity of the proposed design approach.
Optimal Vibration Control of Vehicle Engine-Body System using Haar Functions
Hamid Reza Karimi 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.6
In this note a method of designing optimal vibration control based on Haar functions to control of bounce and pitch vibrations in engine-body vibration structure is presented. Utilizing properties of Haar functions, a computational method to find optimal vibration control for the engine-body system is developed. It is shown that the optimal state trajectories and optimal vibration control are calculated approximately by solving only algebraic equations instead of solving the Riccati differential equation. Simulation results are included to demonstrate the validity and applicability of the technique.
Hamid Reza Karimi,Huijun Gao 제어·로봇·시스템학회 2009 International Journal of Control, Automation, and Vol.7 No.3
The H∞ synchronization problem of the master and slave structure of a second-order neutral master-slave systems with time-varying delays is presented in this paper. Delay-dependent sufficient conditions for the design of a delayed output-feedback control are given by Lyapunov-Krasovskii method in terms of a linear matrix inequality (LMI). A controller, which guarantees H∞ synchroniza-tion of the master and slave structure using some free weighting matrices, is then developed. A numeri-cal example has been given to show the effectiveness of the method. The simulation results illustrate the effectiveness of the proposed methodology.
Karimi, Khatoon,Mahmoudi, Touraj,Karimi, Negar,Dolatmoradi, Hesamodin,Arkani, Maral,Farahani, Hamid,Vahedi, Mohsen,Parsimehr, Elham,Dabiri, Reza,Nobakht, Hossein,Asadi, Asadollah,Zali, Mohammad Reza Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9
Background: Several epidemiological studies have shown associations between colorectal cancer (CRC) risk and type 2 diabetes and obesity. Any effects would be expected to be mediated through the insulin pathway. Therefore it is possible that variants of genes encoding components of the insulin pathway play roles in CRC susceptibility. In this study, we hypothesized that polymorphisms in the genes involving the insulin pathway are associated with risk of CRC. Materials and Methods: The associations of four single nucleotide polymorphisms (SNPs) in IGF-I (rs6214), IGFBP-3 (rs3110697), INSR (rs1052371), and IRS2 (rs2289046) genes with the risk of CRC were evaluated using a case-control design with 167 CRC cases and 277 controls by the PCR-RFLP method. Results: Overall, we observed no significant difference in genotype and allele frequencies between the cases and controls for the IGF-I, IGFBP-3, INSR, IRS2 gene variants and CRC before or after adjusting for confounders (age, BMI, sex, and smoking status). However, we observed that the IRS2 (rs2289046) GG genotype compared with AA+AG genotypes has a protective effect for CRC in normal weight subjects (p=0.035, OR=0.259, 95%CI= 0.074-0.907). Conclusions: These findings do not support plausible associations between polymorphic variations in IGF-I, IGFBP-3, INSR, IRS2 genes and risk of CRC. However, the evidence for a link between the IRS2 (rs2289046) variant and risk of CRC dependent on the BMI of the subjects, requires confirmation in subsequent studies with greater sample size.
Li, Yueyang,Karimi, Hamid Reza,Ahn, Choon Ki,Xu, Yuan,Zhao, Dong Elsevier 2018 Journal of the Franklin Institute Vol.355 No.7
<P><B>Abstract</B></P> <P>This work deals with the problem of optimal residual generation for fault detection (FD) in linear discrete time-varying (LDTV) systems subject to uncertain observations. By introducing a generalized fault detection filter (FDF) with four parameter matrices as the residual generator, a novel FDF design scheme is formulated as two bi-objective optimization problems such that the sensitivity of residual to fault is enhanced and the robustness of residual to unknown input is simultaneously strengthened. A generalized operator based optimization approach is proposed to deduce solutions to the corresponding optimization problems in operator forms, where the related <I>H</I> <SUB>∞</SUB>/<I>H</I> <SUB>∞</SUB> or <SUB> H − </SUB> / <SUB> H ∞ </SUB> FD performance index is maximized. With the aid of the addressed methods, the connections among the derived solutions are explicitly announced. The parameter matrices of the FDF are analytically derived via solving simple matrix equations recursively. It is revealed that our proposed results establish an operator-based framework of optimal residual generation for some kinds of linear discrete-time systems. Illustrative examples are given to show the applicability and effectiveness of the proposed methods.</P>
Resilient Sampled-Data Control for Markovian Jump Systems With an Adaptive Fault-Tolerant Mechanism
Sakthivel, R.,Karimi, Hamid Reza,Joby, Maya,Santra, Srimanta IEEE 2017 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS PART 2 E Vol.64 No.11
<P>This brief investigates the problem of passivity-based resilient sampled-data control for Markovian jump systems subject to actuator faults via an adaptive fault-tolerant mechanism. By constructing a proper Lyapunov function, a set of sufficient conditions is obtained in terms of linear matrix inequalities (LMIs), which ensures that the closed-loop system is stochastically passive. In order to reflect the imprecision in controller, the additive gain variations is considered. Then, the resilient sampled-data control parameters can be determined by solving the obtained LMIs. Finally, an illustrative example is presented to show the validity and applicability of the proposed design technique.</P>