Silvio Simani
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View article: Optimal Fault-Tolerant Control for Large-Scale Interconnected Systems With State Constraints
Optimal Fault-Tolerant Control for Large-Scale Interconnected Systems With State Constraints Open
Guaranteed system performance under various circumstances continues to be a challenge in technique and practice. Based on this, this article investigates the optimal fault-tolerant control strategy for a large-scale interconnected system w…
View article: Performance Evaluation of Fractional Proportional–Integral–Derivative Controllers Tuned by Heuristic Algorithms for Nonlinear Interconnected Tanks
Performance Evaluation of Fractional Proportional–Integral–Derivative Controllers Tuned by Heuristic Algorithms for Nonlinear Interconnected Tanks Open
This article presents an in-depth analysis of three advanced strategies to tune fractional PID (FOPID) controllers for a nonlinear system of interconnected tanks, simulated using MATLAB. The study focuses on evaluating the performance char…
View article: Artificial Neural Network-based Wake Steering Control under the Time-varying Inflow<sup>*</sup>
Artificial Neural Network-based Wake Steering Control under the Time-varying Inflow<sup>*</sup> Open
The wind farm power loss due to wake interaction becomes more pronounced with a more compact farm layout. The steady-state wake model, for example, the Gaussian wake model, can help optimize the wake deflection and reduce the power loss. H…
View article: Wind Turbine Blade Monitoring via Deep Learning and Acoustic Aerodynamic Signals
Wind Turbine Blade Monitoring via Deep Learning and Acoustic Aerodynamic Signals Open
Wind turbines have developed as an important and ecologically friendly source of power. However, owing to the extensive usage of innovative materials, ensuring the dependability of these devices has become crucial. The focus of research ha…
View article: Review of: "Neuro-Fuzzy-Based Adaptive Control for Autonomous Drone Flight"
Review of: "Neuro-Fuzzy-Based Adaptive Control for Autonomous Drone Flight" Open
In the reviewer's opinion, the paper could have been more interesting and organised better.In general, the overall contribution remains scientifically poor and technically questionable.In more detail, the paper's title is quite clear
View article: RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644
RETRACTED: Simani et al. Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning. Energies 2023, 16, 3644 Open
The journal retracts the article entitled “Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning” [...]
View article: Neural Network Observer-Based Prescribed-Time Fault-Tolerant Tracking Control for Heterogeneous Multiagent Systems With a Leader of Unknown Disturbances
Neural Network Observer-Based Prescribed-Time Fault-Tolerant Tracking Control for Heterogeneous Multiagent Systems With a Leader of Unknown Disturbances Open
This study investigates the prescribed-time leader-follower formation strategy for heterogeneous multiagent sys-tems including unmanned aerial vehicles and unmanned ground vehicles under time-varying actuator faults and unknown dis-turbanc…
View article: Computational intelligence-based approaches to fault-tolerant and self-healing control and maintenance of dynamic systems
Computational intelligence-based approaches to fault-tolerant and self-healing control and maintenance of dynamic systems Open
The objective of this editorial paper is to present a concise overview of the special issue focused on computational intelligence-based approaches to fault-tolerant and self-healing control and maintenance of dynamic systems. This topic be…
View article: Dynamic Neural Network Architecture Design for Predicting Remaining Useful Life of Dynamic Processes
Dynamic Neural Network Architecture Design for Predicting Remaining Useful Life of Dynamic Processes Open
The prediction of remaining useful life is critical in predictive health management. This is done to reduce the expenses associated with operation and maintenance by avoiding errors and failures in dynamic processes. Recently, the abilitie…
View article: RETRACTED: Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning
RETRACTED: Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning Open
The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher up-times and lower maintenance costs. Machine learning approaches can be used for detecting developing fault…
View article: Data–Driven Wake Steering Control for a Simulated Wind Farm Model
Data–Driven Wake Steering Control for a Simulated Wind Farm Model Open
Upstream wind turbines yaw to divert their wakes away from downstream turbines, increasing the power produced. Nevertheless, the majority of wake steering techniques rely on offline lookup tables that translate a set of parameters, includi…
View article: Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data
Transfer Learning for Fault Detection with Application to Wind Turbine SCADA Data Open
In agreement with the Editor-in-Chief, the editorial office, and the authors, this article has been removed and marked as retracted because its content and data contained plagiarism from an unpublished study. Please refer to the Removal St…
View article: Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System
Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System Open
This research proposed an optimal control approach for a smart grid electrical system with photovoltaic generation, where the control variables are voltage and frequency, which aims to improve the performance through addressing the need fo…
View article: Active Wake Steering Control Data-Driven Design for a Wind Farm Benchmark
Active Wake Steering Control Data-Driven Design for a Wind Farm Benchmark Open
Upstream wind turbines yaw to divert their wakes away from downstream turbines, increasing the power produced. Nevertheless, the majority of wake steering techniques rely on offline lookup tables that translate a set of parameters, includi…
View article: Resilient Composite Learning Neuro-Adaptive Integrated Guidance and Control for reusable Launch Vehicle
Resilient Composite Learning Neuro-Adaptive Integrated Guidance and Control for reusable Launch Vehicle Open
An integrated guidance and control system for tracking a reference flight path trajectory of a reusable launch vehicle in the presence of model uncertainties, external disturbances, and measurement noises is proposed. To achieve this goal,…
View article: Data-Driven and Model-Based Control Techniques for a Wind Turbine Benchmark Model
Data-Driven and Model-Based Control Techniques for a Wind Turbine Benchmark Model Open
Wind turbine plants are complex dynamic and uncertain processes driven by stochastic inputs and disturbances, as well as different loads represented by gyroscopic, centrifugal, and gravitational forces. Moreover, as their aerodynamic model…
View article: Hybrid robust fault detection and isolation of satellite reaction wheel actuators
Hybrid robust fault detection and isolation of satellite reaction wheel actuators Open
In this paper, a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults, external disturbances, and parametric uncertainties. The proposed methodology incorporates a residual generat…
View article: Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview
Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview Open
Wind turbines are playing an increasingly important role in renewable power generation. Their complex and large-scale structure, however, and operation in remote locations with harsh environmental conditions and highly variable stochastic …
View article: Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability
Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability Open
The paper presents the design and control strategy of an isolated DC microgrid, which is based on classical control techniques, predictive control and iterative algorithms. The design control parameters are maximum overshoot, settling time…
View article: Wind Turbine Pitch Actuator Regulation for Efficient and Reliable Energy Conversion: A Fault-Tolerant Constrained Control Solution
Wind Turbine Pitch Actuator Regulation for Efficient and Reliable Energy Conversion: A Fault-Tolerant Constrained Control Solution Open
Motivated for improving the efficiency and reliability of wind turbine energy conversion, this paper presents an advanced control design that enhances the power regulation efficiency and reliability. The constrained behavior of the wind tu…
View article: Wind Turbine Pitch Actuator Regulation for Efficient and Re-liable Energy Conversion: A Fault-Tolerant Constrained Control Solution
Wind Turbine Pitch Actuator Regulation for Efficient and Re-liable Energy Conversion: A Fault-Tolerant Constrained Control Solution Open
Motivated for improving the efficiency and reliability of wind turbine energy conversion, this paper presents an advanced control design that enhances the power regulation efficiency and re-liability. The constrained behaviour of the wind …