Search Results - "Fadali, M. Sami"
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Vibration‐based structural condition assessment using convolution neural networks
Published in Structural control and health monitoring (01-02-2019)“…Summary A novel vibration‐based structural health monitoring (SHM) approach that uses two‐dimensional deep convolution neural networks (CNN) is introduced. The…”
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2
Wind speed and wind direction forecasting using echo state network with nonlinear functions
Published in Renewable energy (01-02-2019)“…Wind turbines are among the most popular sources of renewable energy. The energy available from wind varies widely because wind energy is highly dependent on…”
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3
A Novel Method for Single and Simultaneous Fault Location in Distribution Networks
Published in IEEE transactions on power systems (01-11-2015)“…This paper introduces a novel method for single and simultaneous fault location in distribution networks by means of a sparse representation (SR) vector,…”
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4
Performance-based active controller design for nonlinear structures using modified black hole optimization
Published in Journal of vibration and control (01-02-2024)“…This paper presents a novel approach that facilitates the design of active controllers to mitigate seismically induced damage in structural systems. The…”
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5
Stability Analysis of Electricity Markets Using TSK Fuzzy Modeling
Published in IEEE transactions on power systems (01-03-2016)“…This paper discusses the stability properties of electricity markets and their implications for the deregulated market environment. We formulate a…”
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Solar Power Prediction Using Interval Type-2 TSK Modeling
Published in IEEE transactions on sustainable energy (01-04-2013)“…The random nature of solar energy resources is one of the obstacles to their large-scale proliferation in power systems. The most practical way to predict this…”
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7
Stability Analysis and Control of Discrete Type-1 and Type-2 TSK Fuzzy Systems: Part I. Stability Analysis
Published in IEEE transactions on fuzzy systems (01-12-2011)“…This paper introduces sufficient conditions for the exponential stability of type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems. A major advantage of the…”
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8
Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling
Published in IEEE transactions on control systems technology (01-03-2010)“…Dynamic neural models provide an attractive means of fault detection and isolation in industrial process. One approach is to create a neural model to emulate…”
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Digital Control Engineering - Analysis and Design
Published 2009“…Digital controllers are part of nearly all modern personal, industrial, and transportation systems. Every senior or graduate student of electrical, chemical or…”
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10
Optimal resource allocation in networked control systems
Published in IET cyber-physical systems (01-06-2020)“…This study proposes an optimal bandwidth allocation algorithm for a Networked Control System (NCS) that includes a time‐driven sensor, event‐driven controller…”
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11
Active neural predictive control of seismically isolated structures
Published in Structural control and health monitoring (01-07-2018)Get full text
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12
Direct Torque Control With Feedback Linearization for Induction Motor Drives
Published in IEEE transactions on power electronics (01-03-2017)“…This paper describes a direct-torque-controlled (DTC) induction motor (IM) drive that employs feedback linearization and sliding-mode control (SMC). A new…”
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13
On the Stability and Control of Continuous-Time TSK Fuzzy Systems
Published in IEEE transactions on cybernetics (01-06-2013)“…This paper introduces a new stability test and control design methodology for type-1 and type-2 continuous-time (CT) Takagi-Sugeno-Kang systems. Unlike methods…”
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14
A Unified Approach for Power System Predictive Operations Using Viterbi Algorithm
Published in IEEE transactions on sustainable energy (01-07-2014)“…A paradigm shift in the renewable energy proliferation in the U.S. necessitates a paradigm shift in power system operations to accommodate large-scale…”
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15
Training recurrent neural networks via dynamical trajectory-based optimization
Published in Neurocomputing (Amsterdam) (27-11-2019)“…This paper introduces a new method to train recurrent neural networks using dynamical trajectory-based optimization. The optimization method utilizes a…”
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16
State Estimation for Large-Scale Power Systems and FACTS Devices Based on Spanning Tree Maximum Exponential Absolute Value
Published in IEEE transactions on power systems (01-01-2020)“…This paper proposes a new state estimation approach for large-scale power systems called spanning tree maximum exponential absolute value (ST-MEAV). The novel…”
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17
Active neural predictive control of seismically isolated structures
Published in Structural control and health monitoring (01-01-2018)“…Summary An online identification and control scheme based on a wavelet neural network (WNN) and model predictive control (MPC) are presented. The WNN comprises…”
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18
Digital Control Engineering
Published 03-02-2009“…Digital controllers are part of nearly all modern personal, industrial, and transportation sytems. Every senior or graduate student of electrical, chemical or…”
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19
Nonlinear Network-Induced Time Delay Systems With Stochastic Learning
Published in IEEE transactions on control systems technology (01-07-2011)“…This paper presents a new control approach for nonlinear network-induced time delay systems by combining online reset control, neural networks, and dynamic…”
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Neural Robust Control for Perturbed Crane Systems
Published in Journal of mechanical science and technology (01-05-2006)“…In this paper, we present a new control methodology for perturbed crane systems. Nonlinear crane systems are transformed to linear models by feedback…”
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