Raul‐Cristian Roman
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View article: Evaluating the Sustainability of Electric Buses During Operation via Field Data
Evaluating the Sustainability of Electric Buses During Operation via Field Data Open
Environmental sustainability is a crucial issue for all human beings, and vehicle emissions significantly contribute to climate change. This has prompted many countries, including China, Norway, and Germany, to focus on electrifying transp…
View article: ACTIVE DISTURBANCE REJECTION CONTROL AND MODEL-FREE CONTROL TUNED VIA FICTITIOUS REFERENCE ITERATIVE TUNING
ACTIVE DISTURBANCE REJECTION CONTROL AND MODEL-FREE CONTROL TUNED VIA FICTITIOUS REFERENCE ITERATIVE TUNING Open
This paper presents a comparative analysis of two data-driven algorithm combinations: the first-order Active Disturbance Rejection Control-Fictitious Reference Iterative Tuning (ADRC-FRIT) and the first-order Model-Free Control-Fictitious …
View article: METAHEURISTIC-BASED TUNING OF PROPORTIONAL-DERIVATIVE LEARNING RULES FOR PROPORTIONAL-INTEGRAL FUZZY CONTROLLERS IN TOWER CRANE SYSTEM PAYLOAD POSITION CONTROL
METAHEURISTIC-BASED TUNING OF PROPORTIONAL-DERIVATIVE LEARNING RULES FOR PROPORTIONAL-INTEGRAL FUZZY CONTROLLERS IN TOWER CRANE SYSTEM PAYLOAD POSITION CONTROL Open
This paper proposes the use of metaheuristic optimization algorithms to tune the Proportional-Derivative (PD) learning rules within the framework of Iterative Learning Control applied to low-cost Takagi-Sugeno Proportional-Integral (PI)-fu…
View article: Review of: "Technological Tools to Teach the Idea of Optimality"
Review of: "Technological Tools to Teach the Idea of Optimality" Open
Potential competing interests: No potential competing interests to
View article: Active Disturbance Rejection Control for 3D Crane Systems
Active Disturbance Rejection Control for 3D Crane Systems Open
Active Disturbance Rejection Control (ADRC) is a data-driven algorithm that offers a promising approach for robust control design. This paper investigates the effectiveness of first-order and second-order ADRC for 3D cranes. To compare the…
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
Potential competing interests: No potential competing interests to declare.The current proposes to study and comprehend adaptive control, intelligent control, hybrid control, and aeronautical characteristics of a UAV-drone flight.The theor…
View article: DISCRETE-TIME MODEL-BASED SLIDING MODE CONTROLLERS FOR TOWER CRANE SYSTEMS
DISCRETE-TIME MODEL-BASED SLIDING MODE CONTROLLERS FOR TOWER CRANE SYSTEMS Open
This paper applies three classical and very popular discrete-time model-based sliding mode controllers, namely the Furuta controller, the Gao controller, and the quasi-relay controller due to Milosavljević, to the position control of tower…
View article: Intelligent Proportional Controller Tuned by Virtual Reference Feedback Tuning and Fictitious Reference Iterative Tuning
Intelligent Proportional Controller Tuned by Virtual Reference Feedback Tuning and Fictitious Reference Iterative Tuning Open
A comparative study of two mixes of data-driven algorithms is proposed in this paper. The discrete-time second-order model-free control known as an intelligent Proportional (iP) controller is tuned considering Virtual Reference Feedback Tu…
View article: A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS
A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS Open
Servo systems become more and more important in control systems applications in various fields as both separate control systems and actuators. Ensuring very good control system performance using few information on the servo system model (v…
View article: Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems
Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems Open
This paper is dedicated to the memory of Prof. Ioan Dzitac, one of the fathers of this journal and its founding Editor-in-Chief till 2021. The paper addresses the performance improvement of three Single Input-Single Output (SISO) fuzzy con…
View article: GWO-based Modeling of an Unstable Transport System
GWO-based Modeling of an Unstable Transport System Open
The goal of this paper is to obtain optimal models of an unstable transport system, which is a nonlinear process represented by the two-wheeled unstable transport system. An optimization problem is defined in order to ideally minimize and …
View article: PI Controller Tuning via Data-Driven Algorithms for Shape Memory Alloy Systems
PI Controller Tuning via Data-Driven Algorithms for Shape Memory Alloy Systems Open
The current paper proposes to compare the performances of a proportional-integral (PI) controller whose parameters are determined in a model-based way using a metaheuristic search algorithm, with the performances of a PI determined in a mo…
View article: GWO-Based Optimal Tuning of Controllers for Shape Memory Alloy Wire Actuators
GWO-Based Optimal Tuning of Controllers for Shape Memory Alloy Wire Actuators Open
The purpose of this paper is to design the optimal controllers for nonlinear processes with Shape Memory Alloy (SMA) wire actuators viewed as controlled processes. Optimal process models are first derived. A comparative analysis is done be…
View article: Iterative Feedback Tuning Algorithm for Tower Crane Systems
Iterative Feedback Tuning Algorithm for Tower Crane Systems Open
This paper proposes validates an Iterative Feedback Tuning (IFT) algorithm, which is a classical and also popular data-driven algorithm, on tower crane systems. The IFT algorithm is applied to improve the performances of three proportional…
View article: GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems
GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems Open
The goal of this paper is to develop the optimal fuzzy controllers for nonlinear processed represented by electromagnetic actuated clutch systems in order to improve the control system performance. A Takagi-Sugeno type-1 fuzzy logic contro…
View article: Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems
Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems Open
This paper suggests five new contributions with respect to the state-of-the-art. First, the optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang proportional-integral fuzzy controllers (TSK PI-FCs) is carrie…
View article: Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems
Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems Open
This paper proposes an approach to the tuning of model-free controllers for the midcarpal joint angles, which are important finger angles that ensure the desired finger dynamics in prosthetic hand myoelectric-based control systems.The proc…
View article: Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation
Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation Open
The paper presents the combination of the model-free control technique with two popular nonlinear control techniques, sliding mode control and fuzzy control. Two data-driven model-free sliding mode control structures and one data-driven mo…
View article: A CENTER MANIFOLD THEORY-BASED APPROACH TO THE STABILITY ANALYSIS OF STATE FEEDBACK TAKAGI-SUGENO-KANG FUZZY CONTROL SYSTEMS
A CENTER MANIFOLD THEORY-BASED APPROACH TO THE STABILITY ANALYSIS OF STATE FEEDBACK TAKAGI-SUGENO-KANG FUZZY CONTROL SYSTEMS Open
The aim of this paper is to propose a stability analysis approach based on the application of the center manifold theory and applied to state feedback Takagi-Sugeno-Kang fuzzy control systems. The approach is built upon a similar approach …
View article: Model-based fuzzy control results for networked control systems
Model-based fuzzy control results for networked control systems Open
This paper discusses aspects concerning the design of model-based fuzzy controllers for Networked Control Systems (NCSs). The stability analysis is related to the characteristic equation of these control systems, where the variable time de…
View article: Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots
Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots Open
This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem. Both optimization problems solved by GWO algorithms are explai…
View article: Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems
Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems Open
In this paper a second-order data-driven Active Disturbance Rejection Control (ADRC) is merged with a proportional-derivative Takagi-Sugeno Fuzzy (PDTSF) logic controller, resulting in two new control structures referred to as second-order…
View article: Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems
Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems Open
A novel mix of two data-driven algorithms is proposed in this paper. The mix of the algorithms aims to exploit the main advantage of data-driven Virtual Reference Feedback Tuning (VRFT) algorithm, that is represented by the automatic compu…
View article: MIMO Fuzzy Control Solutions for the Level Control of Vertical Two Tank Systems
MIMO Fuzzy Control Solutions for the Level Control of Vertical Two Tank Systems Open
The paper presents the design and validation of two control system (CS) structures for the level control of vertical two tank systems. The first CS structure consists of a Multi Input Multi Output Proportional Integral Fuzzy Controller wit…
View article: Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems
Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems Open
This paper proposes a hybrid controller that consists of a second order data–driven Model–Free Control (MFC), also known as intelligent proportional–integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic controller for nonlinear Multi Input…
View article: Virtual Reference Feedback Tuning of Model-Free Control Algorithms for Servo Systems
Virtual Reference Feedback Tuning of Model-Free Control Algorithms for Servo Systems Open
This paper proposes the combination of two data-driven techniques, namely virtual reference feedback tuning (VRFT) and model-Free Control (MFC) in terms of the VRFT of MFC algorithms dedicated to servo systems. VRFT ensures the automatic o…
View article: AUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELS
AUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELS Open
This paper presents theoretical and application results concerning the development of evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed as controlled processes, in the field of automotive applications. …