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Vineet Vajpayee

Researcher at University of Portsmouth

Publications -  28
Citations -  205

Vineet Vajpayee is an academic researcher from University of Portsmouth. The author has contributed to research in topics: Subspace topology & Wavelet. The author has an hindex of 5, co-authored 24 publications receiving 83 citations. Previous affiliations of Vineet Vajpayee include Homi Bhabha National Institute & Indian Institute of Technology Roorkee.

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Data-Driven Subspace Predictive Control of a Nuclear Reactor

TL;DR: The central idea is to implement predictive control law directly from the preprocessed input–output data set without using any explicit process model to implement predicted reactor core power control during load-following mode of operation.
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Dynamic modelling, simulation, and control design of a pressurized water-type nuclear power plant

TL;DR: The model considers the dynamics of the reactor core, thermal hydraulics, piping and plenum, pressurizer, steam generator, condenser, and turbine-governor system, in addition to various actuators and sensors, and has the potential to become a benchmark for control design studies in PWR nuclear power plants.
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Online Fault Detection and Isolation in Advanced Heavy Water Reactor Using Multiscale Principal Component Analysis

TL;DR: A multiscale PCA, integrating wavelet transform with PCA and aiming to reduce the modeling cost by using only a fewer scales that contribute to the monitoring, has been proposed in this paper for online FDI of an advanced heavy water reactor (AHWR).
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LQGI/LTR based Robust Control Technique for a Pressurized Water Nuclear Power Plant

TL;DR: The proposed LQGI/LTR technique designs state-feedback assisted output control using the estimated states and offers robust performance and tracks the reference set-point with zero steady-state error in the presence of uncertainties and disturbances.
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Robust-optimal integrated control design technique for a pressurized water-type nuclear power plant

TL;DR: A novel robust-optimal hybrid control scheme is further proposed by integrating the optimal linear quadratic Gaussian control with the robust integral sliding mode technique with the loop transfer recovery approach to enhance the effectiveness and robustness capability.