Danyal Bustan

Danyal Bustan
Ghent University | UGhent

PostDoc Researcher

About

31
Publications
2,377
Reads
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322
Citations
Additional affiliations
September 2010 - February 2015
Ferdowsi University of Mashhad
Position
  • PhD Student
Education
September 2009 - February 2013
Ferdowsi University of Mashhad
Field of study
  • Control Engineering

Publications

Publications (31)
Article
Full-text available
Addressing within-field spatial variability for nitrogen (N) management to avoid over and under-use of nitrogen is crucial for optimizing crop productivity and ensuring environmental sustainability. In this study, we investigated the economic, environmental, and agronomic benefits of variable rate nitrogen application in potato (Solanum tuberosum L...
Preprint
Full-text available
Addressing within field spatial variability for nitrogen management to avoid over and under-use of nitrogen is crucial for optimizing crop productivity and ensuring environmental sustainability. In this study we investigated the economic, environmental and agronomic benefits of variable rate nitrogen application in potato (Solanum tuberosum). An on...
Article
Full-text available
Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop yield and quality, particularly given maize's sensitivity to soil moisture variations. In the current study, a hybrid Long Short-Term Memory (LSTM) approach is presented aiming to predict irrigation scheduling in maize fields in Bursa, Turkey. A criti...
Conference Paper
Full-text available
The following paper will provide a workflow on how to generate application maps for variable rate irrigation from an ICT standpoint. The application maps are created using a fusion of live soil moisture sensor data, weather data and statistically pre-processed soil and crop data. Generally for the input data the focus was on data which was either o...
Article
Full-text available
Finding a reliable approach to detect bearing faults is crucial, as the most common rotating machine defects occur in its bearings. A convolutional neural network can automatically extract the local features of the mechanical vibration signal and classify the patterns. Nevertheless, these types of networks suffer from the extraction of the global f...
Article
In this paper, a new H∞ robust adaptive neural network control is presented for rehabilitation robotic manipulators. Different sources of modelling error are considered, such as friction forces, external disturbances and parameter variations, besides the effects of human force and weight which are the main source of disturbance in rehabilitation ro...
Article
Full-text available
In this paper, a new approach to fault detection and isolation for multiple simultaneous faults for a quad-rotor system is proposed. This method is based on parity space and high accuracy diagnosis of multiple faults can be achieved with the proposed method. Another advantage of this scheme is that in addition of its fault localization capability,...
Article
Full-text available
In this paper, an adaptive interval type-2 fuzzy controller is proposed for variable-speed and variable-pitch wind turbines. Because of attractive features of the well-known wind turbine baseline controller, the proposed controller acts as an augmented controller and works in parallel to the baseline controller. As typical variable-speed wind turbi...
Article
Full-text available
This study proposes an adaptive sliding mode type-2 neuro-fuzzy control scheme for power-control and speed-control modes of doubly fed induction generator (DFIG). DFIG-based wind turbine system operates as variable-speed wind energy conversion system (WECS) with constant frequency. In the proposed controller design, a sliding mode control (SMC) str...
Article
Full-text available
This study presents an adaptive sliding mode type‐2 neuro‐fuzzy controller for power control of doubly fed induction generators (DFIGs). DFIG‐based wind turbine system is variable‐speed constant‐frequency wind energy conversion system. In this proposed control scheme, in order to enhance its performance, sliding mode control (SMC) theory is used fo...
Article
In this paper, a novel T-S model with nonlinear consequent parts is introduced for the variable speed, variable pitch wind turbine. Because there is an inherent uncertainty in wind speed measurement, a fuzzy observer is proposed to estimate the effective wind speed, acting on the turbine's blades. Then, a robust H ∞ observer based fuzzy controller...
Conference Paper
this paper addresses the problem of unmeasured premise variable in T-S fuzzy observers. Normally when the premise variable is unmeasured, observer design becomes rather challenging and computational burden increases. Here a simple method is introduced to avoid unmeasured premise variables by using the nonlinear local models in the fuzzy rules. The...
Article
In this paper, a continuous stable tracking control algorithm is proposed for spacecraft in the presence of unknown actuator failure, control input saturation and external disturbances. The design method is based on variable structure control and has the following properties: 1) fast and accurate response in the presence of bounded disturbances; 2)...
Article
In this paper, a continuous globally stable tracking control algorithm is proposed for a spacecraft in the presence of unknown actuator failure, control input saturation, uncertainty in inertial matrix and external disturbances. The design method is based on variable structure control and has the following properties: (1) fast and accurate response...
Article
This paper proposes an adaptive fault tolerant attitude controller, based on variable structure control, to address tracking control problem of spacecraft in the presence of unknown actuator failure, control input saturation and external disturbances. In contrast to traditional robust fault tolerant attitude controllers, the proposed controller is...
Article
Full-text available
Application of Volterra series to the modeling of static and dynamic nonlinear systems is investigated in this paper and compared to other methods. For nonlinear systems with memory, Volterra series serves as a generalization of convolution integral. To parameterize the Volterra kernels for limited dimension series, different methods are discussed....
Conference Paper
In this paper, a new fuzzy inference method which is suitable for systems with large number of rules, is proposed. As we know, there are two well-known fuzzy inference systems, Mamdani and TSK. Each one has its own drawbacks and advantages but both of them have been encountered with problem while tuning their parameters especially when there is lar...

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