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Discrete-time chattering free exponentially stabilizing sliding mode scalar control via Lyapunov’s method

International Journal of Control, 2016, Automation, and Systems, 14(3), , pp.698-705

2016

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Multistage ensemble of feedforward neural networks for prediction of heating energy consumption

Thermal science, 2016-01, Vol.20 (4), p.1321-1331

2016

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Hybrid artificial intelligence model for prediction of heating energy use

Thermal science, 2022, Vol.26 (1 Part B), p.705-716

2022

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Support vector machine for the prediction of heating energy use

Thermal science, 2018, Vol.22 (Suppl. 4), p.1171-1181

2018

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Discrete-Time Exponentially Stabilizing Fuzzy Sliding Mode Control via Lyapunov's Method

Advances in Fuzzy Systems, 2015-01, Vol.2015 (2015), p.92-101

2015

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Fuzzy controller optimized by the African vultures algorithm for trajectory tracking of a two-link gripping mechanism

FME transactions, 2022, Vol.50 (3), p.491-501

2022

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Software system “DIORES” for the operation diagnosis of a steam power plant unit

Energy (Oxford), 2011-02, Vol.36 (2), p.1187-1195

2011

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Various multistage ensembles for prediction of heating energy consumption

Modeling, identification and control, 2015-01, Vol.36 (2), p.119-132

2015

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Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimization algorithm

Thermal science, 2022, Vol.26 (3 Part A), p.2275-2286

2022

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Modeling and controlling heat transfer in chambers: A comparative study of classical and intelligent approaches

Thermal science, 2024, p.93-93

2024

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Ensemble of various neural networks for prediction of heating energy consumption

Energy and buildings, 2015-05, Vol.94, p.189-199

2015

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Fuzzy practical exponential tracking of an electrohydraulic servosystem

FME transactions, 2011-01, Vol.39 (1), p.9-15

2011

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Investigation of occupants’ characteristics impact on thermal comfort assessment using a novel neural network PMVo calculation model

Earth science informatics, 2024-07

2024

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Control of a DC motor using feedback linearization and gray wolf optimization algorithm

Advances in mechanical engineering, 2022-03, Vol.14 (3)

2022

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Feedforward neural network and ANFIS-based approaches to forecasting the off-cam energy characteristics of Kaplan turbine

Neural computing & applications, 2018-10, Vol.30 (8), p.2569-2579

2018

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Control of direct current motor by using artificial neural networks in Internal model control scheme

FME transactions, 2023, Vol.51 (1), p.109-116

2023

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Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions

Tehnički vjesnik, 2022-02, Vol.29 (1), p.200-207

2022

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Discrete-Time System Conditional Optimization Based on Takagi–Sugeno Fuzzy Model Using the Full Transfer Function

Applied sciences, 2022-08, Vol.12 (15), p.7705

2022

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Convolutional neural networks in automatic control systems: The state-of-the-art

Tehnika (Beograd), 2023, Vol.78 (4), p.433-441

2023

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Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction

FME transactions, 2017, Vol.45 (1), p.51-57

2017

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Discrete-Time System Conditional Optimisation in the Parameter Space via the Full Transfer Function Matrix

Transactions of FAMENA, 2021-01, Vol.45 (3), p.45-62

2021

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Adaptive neuro fuzzy Inference systems in identification, modeling and control: The state-of-the-art

Tehnika (Beograd), 2022, Vol.77 (5), p.439-446

2022

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Prediction of double-regulated hydraulic turbine on-cam energy characteristics by artificial neural networks approach

FME transactions, 2016, Vol.44 (2), p.125-132

2016

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Between the Autocratic and Anarchist Models of the Social Influence of the Working Class

Sociologija, 1982-10, Vol.24 (4), p.409-420

Jovanovic, Radisa

1982

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Durkheim's Conception of Corporate Socialism

Sociologija, 1975-01, Vol.17 (1), p.151-167

Jovanovic, Radisa

1975

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Discrete-time chattering free exponentially stabilizing sliding mode scalar control via Lyapunov’s method

Multistage ensemble of feedforward neural networks for prediction of heating energy consumption

Hybrid artificial intelligence model for prediction of heating energy use

Support vector machine for the prediction of heating energy use

Discrete-Time Exponentially Stabilizing Fuzzy Sliding Mode Control via Lyapunov's Method

Fuzzy controller optimized by the African vultures algorithm for trajectory tracking of a two-link gripping mechanism

Software system “DIORES” for the operation diagnosis of a steam power plant unit

Various multistage ensembles for prediction of heating energy consumption

Identification and control of a heat flow system based on the Takagi-Sugeno fuzzy model using the grey wolf optimization algorithm

Modeling and controlling heat transfer in chambers: A comparative study of classical and intelligent approaches

Ensemble of various neural networks for prediction of heating energy consumption

Fuzzy practical exponential tracking of an electrohydraulic servosystem

Investigation of occupants’ characteristics impact on thermal comfort assessment using a novel neural network PMVo calculation model

Control of a DC motor using feedback linearization and gray wolf optimization algorithm

Feedforward neural network and ANFIS-based approaches to forecasting the off-cam energy characteristics of Kaplan turbine

Control of direct current motor by using artificial neural networks in Internal model control scheme

Discrete-Time System Conditional Optimization in the Parameter Space with Nonzero Initial Conditions

Discrete-Time System Conditional Optimization Based on Takagi–Sugeno Fuzzy Model Using the Full Transfer Function

Convolutional neural networks in automatic control systems: The state-of-the-art

Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction

Discrete-Time System Conditional Optimisation in the Parameter Space via the Full Transfer Function Matrix

Adaptive neuro fuzzy Inference systems in identification, modeling and control: The state-of-the-art

Prediction of double-regulated hydraulic turbine on-cam energy characteristics by artificial neural networks approach

Between the Autocratic and Anarchist Models of the Social Influence of the Working Class

Durkheim's Conception of Corporate Socialism

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