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Constantin Voloşencu

Polytechnic University of Timişoara Romania

Constantin Voloşencu is a prominent Professor in the Department of Automation and Applied Informatics at the Politehnica University of Timişoara, Romania. His professional achievements are extensive, particularly in control systems, electrical drives, and intelligent systems (including fuzzy logic and neural networks). He is the author of over 10 books, 11 book chapters, and more than 170 scientific papers published in international journals and conference proceedings. He holds 27 patents and has managed numerous research grants. He has developed various electrical and automation systems for industrial applications, including machine tools and high-power ultrasound processes. He serves as editor-in-chief and a member of the editorial boards of international journals; he has served on scientific committees at many international conferences and has been a plenary and keynote speaker at numerous global conferences. Significant contributions to both academic research and practical engineering development characterize his career.

17books edited

11chapters authored

Latest work with IntechOpen by Constantin Voloşencu

Control theory is a dynamic field that merges applied mathematics, computer science, and engineering to design efficient automated systems. Driven by mathematical innovations and modern computing power, the discipline has evolved from classical linear theory to encompass complex nonlinear, intelligent, and interdisciplinary systems. This book aims to bridge the gap between rigorous theory and practical application, offering case studies and examples to illustrate the versatility of modern control methods. The volume covers fundamental concepts such as dynamical systems modeling, stability analysis using the Hurwitz criterion, and the design of PID and state-feedback controllers. It also explores contemporary applications, including robust fault-detection strategies for industrial motor drives and risk-assessment methodologies for cybersecurity in industrial control systems. The chapters in this book are the result of extensive research by experts from both academia and industry and present the authors' vision of how contemporary control strategies are dynamically reshaping engineering fields. Intended for graduate students, faculty, researchers, and practicing engineers, this book serves as a valuable resource for deepening understanding of control theory and exploring its modern implementations across diverse engineering sectors.

New Perspectives and Applications of Modern Control Theory in Engineering

New Perspectives and Applications of Modern Control Theory in Engineering

Edited by Constantin Voloşencu

Books edited

Current State and Future Perspective in Human-Robot Interaction

Current State and Future Perspective in Human-Robot Interaction

Edited by Constantin Voloşencu

PID Control

PID Control

Edited by Constantin Voloşencu

Adaptive Neuro-Fuzzy Inference System as a Universal Estimator

Adaptive Neuro-Fuzzy Inference System as a Universal Estimator

Edited by Constantin Voloşencu

Model Predictive Control

Model Predictive Control

Edited by Constantin Voloşencu

MATLAB Applications in Engineering

MATLAB Applications in Engineering

Edited by Constantin Voloşencu

Simulation Modeling

Simulation Modeling

Edited by Constantin Voloşencu

Fuzzy Systems

Fuzzy Systems

Edited by Constantin Voloşencu

Automation and Control

Automation and Control

Edited by Constantin Voloşencu

Control Theory in Engineering

Control Theory in Engineering

Edited by Constantin Voloşencu

Chapters authored

Tuning Fuzzy PID Controllers

By Constantin Volosencu

Part of the book: Introduction to PID Controllers

Applying the Technology of Wireless Sensor Network in Environment Monitoring

By Constantin Volosencu

Part of the book: Cutting Edge Research in New Technologies

Introductory Chapter: Basic Properties of Fuzzy Relations

By Constantin Volosencu

Part of the book: Fuzzy Logic

Introductory Chapter: Matlab and Simulink Applications

By Constantin Volosencu

Part of the book: MATLAB Applications in Engineering

Matlab Program Library for Modeling and Simulating Control Systems for Electric Drives Based on Fuzzy Logic

By Constantin Volosencu

Fuzzy control of the speed of electric drives is an alternative in the field of the control system. Modeling and simulation of electric drive control systems based on fuzzy logic is an important step in design and development. This chapter provides a complete means of modeling and simulation of fuzzy control systems for DC motors, induction motors, and permanent magnet synchronous motors, made in the Matlab/Simulink program environment, useful for performing complex analyzes. The functioning of the programs is demonstrated by an example of characteristics obtained practically, with a functioning regime often encountered in practice.

Part of the book: MATLAB Applications in Engineering

Introductory Chapter: ANFIS for Modeling Multivariable Nonlinear Functions

By Constantin Voloşencu

Part of the book: Adaptive Neuro-Fuzzy Inference System as a Universal Estimator

A Study on Tuning Methods of Fuzzy PI Controllers

By Constantin Voloșencu

The question addressed is placed in the broad context of fuzzy control, based on fuzzy PI controller, of industrial processes, the equivalence of fuzzy PI controllers with linear PI controllers, tuned with given methods, for the improvement of performance of control systems. The purpose of the study is to analyze the possibility of these implementation and to find the behavior of the resulted fuzzy control systems to compare with the linear control systems. The tuning criteria chosen are the modulus criterion in Kessler’s variant for second-order processes with two time constants, the symmetric criterion in Kessler’s variant, for the second order processes with purely integrator character and Ziegler-Nichols criterion for slow processes. The equivalence of the fuzzy controllers with the linear controllers was made using the input-output transfer characteristics of the fuzzy block and its linearization in the origin to obtain the gain in the origin. The results consist of an equivalence formula for the controller, simulation characteristics for the control systems, comparisons and analyses. The main conclusions are that fuzzy regulators can be designed by equating linear regulators with the presented method and better regulation performances can be obtained.

Part of the book: PID Control

Introductory Chapter: Basic Considerations for the Digital Implementation of PI Controllers

By Constantin Voloșencu

Part of the book: PID Control

Splines for Fitting Curves and Surfaces of Nonlinear Functions

By Constantin Volosencu

The chapter is placed in the broad context of geometric fitting of parametric curves and surfaces of nonlinear functions. The purpose of the study is to compare some methods of fitting in the case of the example of some nonlinear functions, such as the exponential function and the sinc multivariable function. The methods used are spline, interpolation, smoothing and thin plate splines and respectively polynomial and piecewise cubic interpolation. The main results are the graphs of the fitting curves and the residuals for these methods as a basis for comparison. MATLAB tools were used for calculations.

Part of the book: Polynomials

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Related collaborators

Danica Rosinova

Slovak University of Technology in Bratislava , Slovakia

Jan Mareš

University of Chemistry and Technology, Prague , Czech Republic

Alena Kozakova

Slovak University of Technology in Bratislava , Slovakia

Rames C. Panda

Central Leather Research Institute , India

Stefan Bucz

Slovak University of Technology in Bratislava , Slovakia

Konstantinos Arvanitis

Agricultural University of Athens , Greece

Ilan Rusnak

Rafael Advanced Defense Systems (Israel) , Israel

George Pasgianos

Agricultural University of Athens , Greece

Anastasios Boglou

Technological Educational Institute of Eastern Macedonia and Thrace , Greece

Damir Vrancic

Jožef Stefan Institute , Slovenia