Book chapters:

• A. Albu, R.-E. Precup and T.-A. Teban, Intelligent Paradigms for Diagnosis, Prediction and Control in Healthcare Applications, in: Handbook of Artificial Intelligence in Healthcare, Vol. 2: Practicalities and Prospects, C.-P. Lim, Y.-W. Chen, A. Vaidya, C. Mahorkar and L. C. Jain, Eds., Springer, Cham, Intelligent Systems Reference Library, vol. 212, pp. 3-41, 2022 (link.springer.com, link.springer.com).
• R.-E. Precup and R.-C. David, Nature-Inspired Optimal Tuning of Fuzzy Controllers, Chapter 20 in Handbook on Computer Learning and Intelligence, 2^nd Edition, P. P. Angelov, Ed., World Scientific, Singapore, Volume 2: Deep Learning, Intelligent Control and Evolutionary Computation, pp. 775-808, 2022 (www.worldscientific.com, www.worldscientific.com).
• R.-E. Precup, E.-I. Voişan, R.-C. David, E.-L. Hedrea, E. M. Petriu, R.-C. Roman and A.-I. Szedlak-Stînean, Nature-inspired optimization algorithms for path planning and fuzzy tracking control of mobile robots, in: Applied Optimization and Swarm Intelligence, E. Osaba and X.-S. Yang, Eds., Springer Tracts in Nature-Inspired Computing, Springer, Singapore, pp. 129-148, 2021 (link.springer.com, link.springer.com).
• A. T. Azar, F. E. Serrano, A. Koubaa, H. A. Ibrahim, N. A. Kamal, A. Khamis, I. K. Ibraheem, A. J. Humaidi and R.-E. Precup, Robust fractional-order sliding mode control design for UAVs subjected to atmospheric disturbances, Chapter 5 in Unmanned Aerial Systems: Theoretical Foundation and Applications, A. Koubaa and A. T. Azar, Eds., Academic Press, Elsevier, London, San Diego, CA, Cambridge, MA, Oxford, pp. 103-128, 2021 (www.sciencedirect.com, www.sciencedirect.com).
• R.-C. David, R.-E. Precup, St. Preitl, A.-I. Szedlak-Stînean and L.-O. Fedorovici, Application of grey wolf optimization in fuzzy controller tuning for servo systems, Chapter 13 in Swarm Intelligence -Volume 2: Innovation, new algorithms and methods, Y. Tan, Ed. (IET Digital Library), pp. 363-387, 2018 (digital-library.theiet.org, digital-library.theiet.org, www2.theiet.org).
• R.-E. Precup and R.-C. David, Nature-Inspired Optimization of Fuzzy Controllers and Fuzzy Models, Chapter 20 in Handbook on Computational Intelligence, P. P. Angelov, Ed., World Scientific, Singapore, Volume 2: Evolutionary Computation, Hybrid Systems, and Applications, pp. 697-729, 2016 (www.worldscientific.com, www.worldscientific.com).
• St. Preitl, R.-E. Precup, Zs. Preitl, A.-I. Stînean, C.-A. Dragoş and M.-B. Rădac, Pragmatic Design Methods Using Adaptive Controller Structures for Mechatronic Applications with Variable Parameters and Working Conditions, in: Complex Systems, G. M. Dimirovski, Ed., Studies in Systems, Decision and Control, vol. 55 (Springer International Publishing), pp. 619-647, 2016 (link.springer.com, link.springer.com).
• R.-E. Precup, E.-I. Voişan, E. M. Petriu, M.-B. Rădac and L.-O. Fedorovici, Gravitational Search Algorithm-Based Evolving Fuzzy Models of a Nonlinear Process, in: Informatics in Control, Automation and Robotics, J. Filipe, K. Madani, O. Gusikhin and J. Sasiadek, Eds., Lecture Notes in Electrical Engineering, vol. 383 (Springer International Publishing), pp. 51-62, 2016 (link.springer.com, link.springer.com).
• R.-C. Roman, M.-B. Rădac, R.-E. Precup and E. M. Petriu, Virtual Reference Feedback Tuning of MIMO Data-Driven Model-Free Adaptive Control Algorithms, in: Technological Innovation for Cyber-Physical Systems, L. M. Camarinha-Matos, A. J. Falcao, N. Vafaei and S. Najdi, Eds., IFIP Advances in Information and Communication Technology, vol. 470 (Springer International Publishing), pp. 253-260, 2016 (link.springer.com, link.springer.com).
• R.-C. David, R.-E. Precup, E. M. Petriu, St. Preitl, M.-B. Rădac and L.-O. Fedorovici, Adaptive Evolutionary Optimization Algorithms for Simple Fuzzy Controller Tuning Dedicated to Servo Systems, in: Fuzzy Modeling and Control: Theory and Applications, F. Matia, G. N. Marichal and E. Jimenez, Eds., Atlantis Computational Intelligence Systems, vol. 9 (Atlantis Press and Springer-Verlag), pp. 159-173, 2014 (link.springer.com, link.springer.com).
• St. Preitl, R.-E. Precup, Z. Preitl, A.-I. Stînean, M.-B. Rădac and C.-A. Dragoş, Control Algorithms for Plants Operating Under Variable Conditions, Applications, in: Advances in Soft Computing, Intelligent Robotics and Control, J. Fodor and R. Fuller, Eds., Topics in Intelligent Engineering and Informatics, vol. 8 (Springer-Verlag), pp. 3-39, 2014 (link.springer.com, link.springer.com).
• R.-C. David, R.-B. Grad, R.-E. Precup, M.-B. Rădac, C.-A. Dragoş and E. M. Petriu, An Approach to Fuzzy Modeling of Anti-lock Braking Systems, in: Soft Computing in Industrial Applications, V. Snášel, P. Krömer, M. Köppen and G. Schaefer, Eds., Advances in Intelligent Systems and Computing, vol. 223 (Springer-Verlag), pp. 83-93, 2014 (link.springer.com, link.springer.com).
• A.-I. Stînean, St. Preitl, R.-E. Precup, C.-A. Dragoş and M.-B. Rădac, Classical and Fuzzy Approaches to 2-DOF Control Solutions for BLDC-m Drives, in: Intelligent Systems: Models and Applications, E. Pap, Ed., Topics in Intelligent Engineering and Informatics, vol. 3 (Springer-Verlag), pp. 175-193, 2013 (link.springer.com, link.springer.com).
• R.-E. Precup, F.-C. Enache, M.-B. Rădac, E. M. Petriu, St. Preitl and C.-A. Dragoş, Lead-Lag Controller-Based Iterative Learning Control Algorithms for 3D Crane Systems, in: Aspects of Computational Intelligence: Theory and Applications, L. Madarász and J. Živčák, Eds., Topics in Intelligent Engineering and Informatics, vol. 2 (Springer-Verlag), pp. 25-38, 2013 (link.springer.com, link.springer.com).
• St. Preitl, A.-I. Stînean, R.-E. Precup, C.-A. Dragoş and M.-B. Rădac, 2-DOF and Fuzzy Control Extensions of Symmetrical Optimum Design Method: Applications and Perspectives, in: Applied Computational Intelligence in Engineering and Information Technology, R.-E. Precup, Sz. Kovács, St. Preitl and E. M. Petriu, Eds., Topics in Intelligent Engineering and Informatics, vol. 1 (Springer-Verlag), pp. 19-37, 2012 (link.springer.com, link.springer.com).
• R.-C. David, R.-E. Precup, St. Preitl, J. K. Tar and J. Fodor, Three Evolutionary Optimization Algorithms in PI Controller Tuning, in: Applied Computational Intelligence in Engineering and Information Technology, R.-E. Precup, Sz. Kovács, St. Preitl and E. M. Petriu, Eds., Topics in Intelligent Engineering and Informatics, vol. 1 (Springer-Verlag), pp. 95-106, 2012 (link.springer.com, link.springer.com).
• Cl. Pozna and R.-E. Precup, Ideas on a Pattern of Human Knowledge, in: Applied Computational Intelligence in Engineering and Information Technology, R.-E. Precup, Sz. Kovács, St. Preitl and E. M. Petriu, Eds., Topics in Intelligent Engineering and Informatics, vol. 1 (Springer-Verlag), pp. 273-286, 2012 (link.springer.com, link.springer.com).
• C.-A. Dragoş, St. Preitl, R.-E. Precup and E. M. Petriu, Points of View on Magnetic Levitation System Laboratory-Based Control Education, in: Human-Computer Systems Interaction: Backgrounds and Applications 2, Part 2, Z. S. Hippe, J. L. Kulikowski and T. Mroczek, Eds., Advances in Intelligent and Soft Computing, vol. 99 (Springer-Verlag), pp. 261-275, 2012 (link.springer.com, link.springer.com).
• R.-E. Precup, S. V. Spătaru, M.-B. Rădac, E. M. Petriu, St. Preitl, C.-A. Dragoş and R.-C. David, Experimental Results of Model-Based Fuzzy Control Solutions for a Laboratory Antilock Braking System, in: Human-Computer Systems Interaction: Backgrounds and Applications 2, Part 2, Z. S. Hippe, J. L. Kulikowski and T. Mroczek, Eds., Advances in Intelligent and Soft Computing, vol. 99 (Springer-Verlag), pp. 223-234, 2012 (link.springer.com, link.springer.com).
• L.-O. Fedorovici, R.-E. Precup, R.-C. David and F. Drăgan, GSA-Based Training of Convolutional Neural Networks for OCR Applications, in: Computational Intelligence Systems in Industrial Engineering, C. Kahraman, Ed., Atlantis Computational Intelligence Systems, vol. 6 (Atlantis Press and Springer-Verlag), pp. 481-504, 2012 (link.springer.com, link.springer.com).
• R.-E. Precup, R.-C. David, St. Preitl, E. M. Petriu and J. K. Tar, Optimal Control Systems with Reduced Parametric Sensitivity Based on Particle Swarm Optimization and Simulated Annealing, in: Intelligent Computational Optimization in Engineering Techniques and Applications, M. Köppen, G. Schaefer and A. Abraham, Studies in Computational Intelligence, vol. 366 (Springer-Verlag), pp. 177-207, 2011 (link.springer.com, link.springer.com).
• R.-E. Precup, R.-C. David, E. M. Petriu, St. Preitl and A. S. Paul, Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity, in: Soft Computing in Industrial Applications, A. Gaspar-Cunha, R. Takahashi, G. Schaefer and L. Costa, Eds., Advances in Intelligent and Soft Computing, vol. 96 (Springer-Verlag), pp. 141-150, 2011 (link.springer.com, link.springer.com).
• M.-B. Rădac, R.-E. Precup, E. M. Petriu, St. Preitl and C.-A. Dragoş, Convergent Iterative Feedback Tuning of State Feedback-Controlled Servo Systems, in: Informatics in Control Automation and Robotics, J. Andrade Cetto, J. Filipe and J.-L. Ferrier, Eds., Lecture Notes in Electrical Engineering, vol. 85 (Springer-Verlag), pp. 99-111, 2011 (link.springer.com, link.springer.com).
• C.-A. Dragoş, St. Preitl, R.-E. Precup, M. Creţiu and J. Fodor, Modern Control Solutions with Applications in Mechatronic Systems, in: Computational Intelligence in Engineering, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 313 (Springer-Verlag), pp. 87-102, 2010 (link.springer.com, link.springer.com).
• St. Preitl, R.-E. Precup, M.-L. Tomescu, M.-B. Rădac, E. M. Petriu and C.-A. Dragoş, Model-Based Design Issues in Fuzzy Logic Control, in: Towards Intelligent Engineering and Information Technology, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 243 (Springer-Verlag), pp. 137-152, 2009 (link.springer.com, link.springer.com).
• R.-E. Precup, M.-B. Rădac, St. Preitl, E. M. Petriu and C.-A. Dragoş, Iterative Feedback Tuning in Linear and Fuzzy Control Systems, in: Towards Intelligent Engineering and Information Technology, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 243 (Springer-Verlag), pp. 179-192, 2009 (link.springer.com, link.springer.com).
• Cl. Pozna, R.-E. Precup, St. Preitl, F. Troester and J. K. Tar, Points of View on Building an Intelligent Robot, in: Towards Intelligent Engineering and Information Technology, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 243 (Springer-Verlag), pp. 263-277, 2009 (link.springer.com, link.springer.com).
• R.-E. Precup and St. Preitl, On the Stability and Sensitivity Analysis of Fuzzy Control Systems for Servo-Systems, in: Fuzzy Systems Engineering, Theory and Practice, N. Nedjah and L. de Macedo Mourelle, Eds., Studies in Fuzziness and Soft Computing, vol. 181 (Springer-Verlag), pp. 131-161, 2005 (link.springer.com, link.springer.com).
• St. Preitl and R.-E. Precup, Fuzzy Controllers with Dynamics, a Systematic Design Approach, in: Advances in Automatic Control, M. Voicu, Ed., The Springer International Series in Engineering and Computer Science, vol. 754 (Kluwer Academic Publishers and Springer-Verlag), pp. 283-296, 2003 (link.springer.com, link.springer.com).