Search Results - "Elumalai, Vinodh Kumar"

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  1. 1

    Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter by Vinodh Kumar, Elumalai, Raaja, Ganapathy Subramanian, Jerome, Jovitha

    Published in Applied soft computing (01-04-2016)
    “…•LQR weight optimization problem is solved using adaptive particle swarm optimization (APSO) algorithm.•The convergence speed and precision of conventional PSO…”
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    Journal Article
  2. 2

    A new algebraic LQR weight selection algorithm for tracking control of 2 DoF torsion system by Kumar Elumalai, Vinodh, Ganapathy Subramanian, Raaja

    “…Abstract This paper proposes a novel linear quadratic regulator (LQR) weight selection algorithm by synthesizing the algebraic Riccati equation (ARE) with the…”
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  3. 3

    Adaptive predator–prey optimization for tuning of infinite horizon LQR applied to vehicle suspension system by Das, Rashmi Ranjan, Elumalai, Vinodh Kumar, Ganapathy Subramanian, Raaja, Ashok Kumar, Kadiyam Venkata

    Published in Applied soft computing (01-11-2018)
    “…•The vehicle suspension control is formulated as an LQR optimization problem.•An APPO strategy to address the local optima problem of PSO is…”
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  4. 4

    Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control by David Reddipogu, Joshua Sunder, Elumalai, Vinodh Kumar

    “…This paper presents an adaptive inertia weight particle swarm optimization (AIWPSO) employed for solving the multiobjective weight optimization problem of LQR…”
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  5. 5

    Enhanced IMC synthesis for tracking control of magnetic levitation system by Elumalai, Vinodh Kumar, Subramanian, Raaja Ganapathy, Reddipogu, Joshua Sunder David, Srinivasan, Soundarya, Agrawal, Shantanu

    “…This paper presents an enhanced internal model control (EIMC) scheme for a time-delayed second order unstable process, which is subjected to exogenous…”
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  6. 6

    Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier by T., Prabhavathy, Elumalai, Vinodh Kumar, E., Balaji

    Published in Applied soft computing (01-12-2024)
    “…This paper puts forward a novel entropy features based multi-class SVM classifier framework to predict the limb movement of the transradial amputees from the…”
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  7. 7

    Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network by E., Balaji, D., Brindha, Elumalai, Vinodh Kumar, R., Vikrama

    Published in Applied soft computing (01-09-2021)
    “…Deep learning has a huge potential in healthcare for uncovering the hidden patterns from large volume of clinical data to diagnose different diseases. This…”
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  8. 8

    Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM by T., Prabhavathy, E., Vinodh Kumar, E., Balaji

    Published in Expert systems with applications (15-03-2024)
    “…To improve the classification accuracy of hand movements from sEMG signals, this paper puts forward a unified hand gesture classification framework which…”
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  9. 9

    Nonlinear stabilization and reference tracking of visual servo system using TS fuzzy augmented iterative learning control: Experimental validation by Jonnalagadda, Vimala Kumari, Elumalai, Vinodh Kumar

    “…To address the nonlinear stabilization problem and improve the tracking control feature of ball on plate system (BPS), this paper puts forward a novel Takagi…”
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  10. 10

    Data-driven gait analysis for diagnosis and severity rating of Parkinson’s disease by E, Balaji, D, Brindha, Elumalai, Vinodh Kumar, K, Umesh

    Published in Medical engineering & physics (01-05-2021)
    “…•To diagnose and rate the severity of PD, plantar pressure based gait analysis framework using machine learning algorithms is presented.•Significant gait…”
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  11. 11

    Robust MRAC augmented baseline LQR for tracking control of 2 DoF helicopter by Ganapathy Subramanian, Raaja, Elumalai, Vinodh Kumar

    Published in Robotics and autonomous systems (01-12-2016)
    “…This paper proposes a novel in-line direct adaptive Linear Quadratic Regulator (LQR) using Model Reference Adaptive Control (MRAC) scheme for tracking control…”
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  12. 12

    Deep reinforcement learning with reward shaping for tracking control and vibration suppression of flexible link manipulator by Viswanadhapalli, Joshi Kumar, Elumalai, Vinodh Kumar, S., Shivram, Shah, Sweta, Mahajan, Dhruv

    Published in Applied soft computing (01-02-2024)
    “…This paper puts forward a novel deep reinforcement learning control using deep deterministic policy gradient (DRLC-DDPG) framework to address the reference…”
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  13. 13

    A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier by T., Prabhavathy, Elumalai, Vinodh Kumar, E., Balaji, Sandhiya, Dhanasekaran

    “…Deciphering and classifying surface electromyography (sEMG) signals is highly essential in rehabilitation robotics, myoelectric prosthetic control, sign…”
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  14. 14

    Hardware-in-the-loop testing of current cycle feedback ILC for stabilisation and tracking control of under-actuated visual servo system by Jonnalagadda, Vimala Kumari, Elumalai, Vinodh Kumar

    Published in International journal of systems science (04-04-2021)
    “…This paper presents an iterative learning control (ILC) scheme augmented with the feedback control for solving the nonlinear stabilisation and tracking control…”
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  15. 15
  16. 16

    Current cycle feedback iterative learning control for tracking control of magnetic levitation system by Jonnalagadda, Vimala Kumari, Elumalai, Vinodh Kumar, Agrawal, Shantanu

    “…This paper presents the current cycle feedback iterative learning control (CCF-ILC) augmented with the modified proportional integral derivative (PID)…”
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  17. 17

    Novel HCOB3C Optimization Based Fuzzy Logic Controller Design for Experimental Active Suspension System by Fahira Haseen, S., Lakshmi, P., Elumalai, Vinodh Kumar

    “…This paper puts forward a novel Hybrid Coyote Optimization-based Big Bang Big Crunch (HCOB 3 C) algorithm to design an optimal multi-objective fuzzy control…”
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  18. 18

    Discrete-time setpoint-triggered reset integrator design with guaranteed performance and stability by Ganapathy Subramanian, Raaja, Elumalai, Vinodh Kumar

    Published in ISA transactions (01-10-2018)
    “…According to Bode's gain-phase relationship, in linear time-invariant controllers, introducing an integral action to eliminate the steady-state error has an…”
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  19. 19

    Uniform ultimate bounded robust model reference adaptive PID control scheme for visual servoing by Ganapathy Subramanian, Raaja, Elumalai, Vinodh Kumar, Karuppusamy, Selvakumar, Canchi, Vamsi Krishna

    Published in Journal of the Franklin Institute (01-03-2017)
    “…This paper proposes a uniform ultimate bounded (UUB) controller framework using model reference adaptive control for visual servoing of the ball on plate…”
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  20. 20

    Nonlinear control design using Takagi-Sugeno fuzzy applied to under-actuated visual servo system by Jonnalagadda, Vimala Kumari, Elumalai, Vinodh Kumar, Singh, Harvir, Prasad, Amit

    “…This paper presents the Takagi-Sugeno (TS) fuzzy control design for nonlinear stabilization and tracking control of a ball on plate system. To deal with the…”
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