Zoran Tomljanović
Associate Professor Department of Mathematics Josip Juraj Strossmayer University of Osijek Trg Ljudevita Gaja 6 Osijek, HR31000, Croatia¸

Research Interests
 Numerical linear algebra
 Damping optimization in mechanical systems
 Control Theory

Matrix Equations
Degrees

 PhD in Mathematics, Department of Mathematics, University of Zagreb, May 2011.
PhD Thesis: Optimal damping for vibrating systems using dimension reduction (PDF)
 BSc in Mathematics, Department of Mathematics, University of Zagreb, Croatia, December 2005.
 19972001 Mathematical Gymnasium at high school in Našice
Publications
 N. Truhar, Z. Tomljanović, M. Puvača, Approximation of damped quadratic eigenvalue problem by dimension reduction, Applied mathematics and computation 347 (2019), 4053This paper presents an approach to the efficient calculation of all or just one important part of the eigenvalues of the parameter dependent quadratic eigenvalue problem $(lambda^2(mathbf{;v};) M + lambda(mathbf{;v};) D(mathbf{;v};) + K) x(mathbf{;v};) = 0$, where $M, K$ are positive definite Hermitian $ntimes n$ matrices and $D(mathbf{;v};)$ is an $ntimes n$ Hermitian semidefinite matrix which depends on a damping parameter vector $mathbf{;v};= begin{;bmatrix}; v_1 & ldots & v_k end{;bmatrix};in mathbb{;R};_+^k$. With the new approach one can efficiently (and accurately enough) calculate all (or just part of the) eigenvalues even for the case when the parameters $v_i$, which in this paper represent damping viscosities, are of the modest magnitude. Moreover, we derive two types of approximations with corresponding error bounds. The quality of error bounds as well as the performance of the achieved eigenvalue tracking are illustrated in several numerical experiments.
 Z. Tomljanović, C. Beattie, S. Gugercin, Damping optimization of parameter dependent mechanical systems by rational interpolation, Advances in Computational Mathematics 44/6 (2018), 17971820We consider an optimization problem related to semiactive damping of vibrating systems. The main problem is to determine the best damping matrix able to minimize influence of the input on the output of the system. We use a minimization criteria based on the $mathcal{H}_2$ system norm. The objective function is nonconvex and the associated optimization problem typically requires a large number of objective function evaluations. We propose an optimization approach that calculates `interpolatory' reduced order models, allowing for significant acceleration of the optimization process. In our approach, we use parametric model reduction (PMOR) based on the Iterative Rational Krylov Algorithm, which ensures good approximations relative to the $mathcal{H}_2$ system norm, aligning well with the underlying damping design objectives. For the parameter sampling that occurs within each PMOR cycle, we consider approaches with predetermined sampling and approaches using adaptive sampling, and each of these approaches may be combined with three possible strategies for internal reduction. In order to preserve important system properties, we maintain secondorder structure, which through the use of modal coordinates, allows for very efficient implementation. The methodology proposed here provides a significant acceleration of the optimization process; the gain in efficiency is illustrated in numerical experiments.
 N. Truhar, Z. Tomljanović, M. Puvača, An Efficient Approximation For Optimal Damping In Mechanical Systems, International journal of numerical analysis and modeling 14/2 (2017), 201217This paper is concerned with an efficient algorithm for damping optimization in mechanical systems with a prescribed structure. Our approach is based on the minimization of the total energy of the system which is equivalent to the minimization of the trace of the corresponding Lyapunov equation. Thus, the prescribed structure in our case means that a mechanical system is close to a modally damped system. Although our approach is very efficient (as expected) for mechanical systems close to modally damped system, our experiments show that for some cases when systems are not modally damped, the proposed approach provides efficient approximation of optimal damping.
 I. Kuzmanović, Z. Tomljanović, N. Truhar, Damping optimization over the arbitrary time of the excited mechanical system, Journal of Computational and Applied Mathematics, 304 (2016), 120129In this paper we consider damping optimization in mechanical system excited by an external force. We use optimization criteria based on minimizing average energy amplitude and average displacement amplitude over the arbitrary time. As the main result we derive explicit formulas for objective functions. These formulas can be implemented efficiently and accelerate optimization process significantly, which is illustrated in a numerical example.
 P. Benner, P. Kurschner, Z. Tomljanović, N. Truhar, Semiactive damping optimization of vibrational systems using the parametric dominant pole algorithm, Journal of Applied Mathematics and Mechanics 96/5 (2016), 604619We consider the problem of determining an optimal semiactive damping of vibrating systems. For this damping optimization we use a minimization criterion based on the impulse response energy of the system. The optimization approach yields a large number of Lyapunov equations which have to be solved. In this work, we propose an optimization approach that works with reduced systems which are generated using the parametric dominant pole algorithm. This optimization process is accelerated with a modal approach while the initial parameters for the parametric dominant pole algorithm are chosen in advance using residual bounds. Our approach calculates a satisfactory approximation of the impulse response energy while providing a significant acceleration of the optimization process. Numerical results illustrate the effectiveness of the proposed algorithm.
Projects

Control of Dynamical Systems  scientific project (IP2016062468, ConDyS). This project has been fully supported by Croatian Science Foundation for the period 01.03.2017.28.02.2021. (investigator)

Robustness optimization of damped mechanical systems,  scientific project; supported by the DAAD for period 20172018 (principal investigator with Matthias Voigt); cooperation with TU Berlin, Germany

Optimization of parameter dependent mechanical systems  scientific project (IP2014099540; OptPDMechSys). This project has been fully supported by Croatian Science Foundation for the period 01.07.2015.30.06.2019. (investigator)

Damping optimization in mechanical systems excited with external force  scientific project; supported by the J. J. Strossmayer University of Osijek for period 2015 (principal investigator)

Mixed Integer Nonlinear Programming (MINLP) for damper optimization  scientific project; supported by the DAAD for period 20152016 (investigator); cooperation with Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

European Model Reduction Network (EUMORNET). Funded by: COST (European Cooperation in Science and Technology) (investigator).

Optimization of semiactive damping in vibrational systems  scientific project; supported by the J. J. Strossmayer University of Osijek for period 2014 (principal investigator); cooperation with Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

Optimal Damping of Vibrating Systems  scientific project; supported by the DAAD for period 20132014 (investigator)

Passive control of mechanical models  scientific project No.23523528181042 of the Croatian Ministry of Science, Education and Sports for period 2007. (investigator)

Optimization algorithms for determination of optimal damping in mechanical systems  scientific project; supported by the Croatian Science Foundation for period 20082009 (principal investigator)
Professional Activities
Professional Societiey Membership International Association of Applied Mathematics and Mechanics, GAMM
 GAMM Activity Group Applied and Numerical Linear Algebra, GAMM ANLA
 Croatian Mathematical Society, HMD
 Croatian Operational Research Society, CRORS
 Society for Industrial and Applied Mathematics, SIAM
Committee Memberships and organization
 International Workshop on Optimal Control of Dynamical Systems and applications, 2022 June 2018 at Department of Mathematics, J. J. Strossmayer University of Osijek, http://workshop.mathos.unios.hr

Workshop on Model Reduction Methods and Optimization, 2021 September 2016, in Opatija, Croatia, http://www.mathos.unios.hr/index.php/443.

The third International School on Model Reduction for Dynamical Control Systems, 5  10 October 2015, in Dubrovnik, Croatia http://www.mathos.unios.hr/index.php/351

Organizer of the DAAD International School on Linear Optimal Control of Dynamic Systems, 23  28 September 2013, Osijek http://www.mathos.unios.hr/locschool2013/
 Organizer of the Summer School on Numerical Linear Algebra for Dynamical and HighDimensional Problems, October 1015, 2011, Trogir, Croatia, http://www.mpimagdeburg.mpg.de/mpcsc/events/trogir/
Refereeing/Reviewing
Refereeing:
 Mathematical Communications
 Osječki matematički list
Workshop and Conference Talks
 Semiactive Hinf damping optimization by adaptive interpolation, 90th Annual Meeting GAMM 2019, Vienna, 1822 February 2019
 Samplingfree parametric model reduction of structured systems, Numerical Analysis and Scientific Computation with Applications, Kalamata, Greece, 26 July 2018

SamplingFree Parametric Model Reduction Of Structured Systems, International Workshop on Optimal Control of Dynamical Systems and applications, Department of Mathematics, J. J. Strossmayer University of Osijek, Osijek, 2022 June 2018
 Upper and Lower Bounds for Sines of Canonical Angles, SIAM Conference on Applied Linear Algebra (SIAMALA18), 48 May 2018, Hong Kong Baptist University, Hong Kong
 Samplingfree parametric model reduction of systems with structured parameter variation (poster), Model Reduction of Parametrized Systems IV, 1013 April 2018, Nantes, France
 Interpolationbased parametric model reduction for efficient damping optimization, Workshop Numerical methods for optimal control problems: algorithms, analysis and applications, 1923 June 2017, Rome, Italy
 Dimension reduction approach to the parameter dependent quadratic eigenvalue problem, 88th GAMM Annual Meeting, Weimar, Germany, 610 March 2017
 Damping optimization of parameter dependent mechanical systems by rational interpolation, 3rd Workshop on Model Reduction of Complex Dynamical Systems, Odense, Denmark, 1113 January 2017
 H_2 and H∞ semiactive damping optimization, 6TH CROATIAN MATHEMATICAL CONGRESS, June 14  17, 2016, Zagreb, Croatia
 Semiactive damping optimization using the parametric dominant pole algorithm, MatTriad'2015, Coimbra, Portugal, 7  11 September 2015
 Damping optimization in mechanical systems with external force(poster), Numerical Algebra, Matrix Theory, DifferentialAlgebraic Equations, and Control Theory, 69 May 2015, TU Berlin, Berlin, Germany
 Optimal direct velocity feedback and semiactive damping,Chemnitz–Zagreb Workshop on Harmonic Analysis for PDEs, Applications, and related topics 1st5th July 2014, TU Chemnitz, Chemnitz, Germany
 Optimal Direct Velocity Feedback, 10th International Workshop on Accurate Solution of Eigenvalue Problems, Dubrovnik, June 2  5, 2014
 Semiactive Damping Optimization of Vibrational Systems Using Dimension Reduction, 84th Annual Meeting of the International Association of Applied Mathematics and Mechanics , Novi Sad, March 1822, 2013
 Optimal Parameters for Damping Optimization in Linear Vibrating Systems, 9th International Workshop on Accurate Solution of Eigenvalue Problems, Napa Valley, June 4  7, 2012
 Damping Optimization in Linear Vibrating Systems Using Dimension Reduction, International Conference on Vibration Problems 2011, Prague, September 58, 2011
 Optimal Damping of Partial Spectra Using Dimension Reduction, 8th International Workshop on Accurate Solution of Eigenvalue Problems, Berlin, June 28  July 1, 2010
 Dimension Reduction For Damping Optimization In Linear Vibrating Systems, Applied Linear Algebra In honor of Hans Schneider , Novi Sad, May 2428, 2010
 Damping optimization of linear vibrating systems using dimension reduction, GAMM Workshop , Applied and Numerical Linear Algebra, September 1011, 2009, ETH Zurich, Switzerland
Seminar talks
 Hinf damping optimization by adaptive interpolation, Applied Numerical Analysis Seminar, 26 April 2019, Departments of Mathematics at Virginia Tech, USA
 Approximation bounds for parameter dependent quadratic eigenvalue problem, Applied Numerical Analysis Seminar, 4 Oct 2017, Departments of Mathematics at Virginia Tech, USA
 Optimization of semiactive damping and viscous damping in excited mechanical systems, Matrix Computation Seminar, 10 November 2015, Departments of Mathematics at Virginia Tech, USA
 Optimization of semiactive damping and external damping in mechanical systems with external force, AbsolventenSeminar  Numerische Mathematik, 30 June 2015, Berlin, Germany
 Damping optimization in mechanical systems with external force, CSC
Seminar at MPI Magdeburg, Germany, 5 May 2015
 Optimizacija prigušenja u mehaničkim sustavima sa vanjskom silom, Department of Mathematics, University of Osijek, Optmization and applications seminar, 15 April 2015
 Optimization of semiactive damping and viscous damping in mechanical systems with external force, October 21, 2014, University in Innsbruck, Department of Mathematics, Austria
 Optimization of mechanical systems using dimension reduction, October 17, 2013, Forschungsseminar Scientific Computing, Technische Universitat Chemnitz, Germany
 Optimalno prigušenje kod vibracijskih sistema koristeći redukciju dimenzije, March 17, 2011, Seminar za numeričku matematiku i računarstvo, PMFMathematical Departments, University of Zagreb, Croatia
 Optimizacija prigušenja u vibracijskim sistemima pomoću redukcije dimenzije sistema, April 29, 2009,Optmization and applications seminar, University of Osijek, Department of Mathematics, Croatia
 An efficient algorithm for solving and optimizing some types of Lyapunov, May 15, 2007, TU Chemnitz, Research Seminar Numerics, Germany
Study Visits Abroad and Professional Improvement:
 visiting researcher at Department of Mathematics, Carlos III University of Madrid, Spain 06/09/2016  15/09/2016
 visiting researcher at Departments of Mathematics at Virginia Tech, USA, 21/04/201927/04/2019, 02/10/201714/10/2017, 4/11/201520/11/2015
 visiting researcher at TU Berlin, Germany 11/11/201815/11/2018, 16/07/201822/07/2018, 07/01/201814/01/2018, 21/06/2017  29/6/2017, 30/03/2017  07/04/2017, 23/02/2016  25/02/2016, 29/6/2015  9/7/2015
 visiting researcher at University in Innsbruck, Department of Mathematics 19/10/201422/10/2014
 visiting researcher at Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany 12/7/201819/7/2017, 22/11 /16  26/11/16, 29/06/16  09/07/16, 15/02/16  23/02/16, 04/27/15  05/06/15,02/04/14  08/4/14, 5/2/2013  20/2/2013, 3/7/2013  30/7/2013, 26/8/2012 29/9/2012, 29/8/2010  19/9/2010,
 visiting researcher at TU Chemnitz, Germany 13/5/2007  14/6/2007, 10/4/2008  8/5/2008, 10/5/2009  10/7/2009, 24/1/2010  24/2/2010, 9/10/2013  20/10/2013
Service Activities
 Deputy Head of Department for Education and Students, since October 2017 
 Moderator of Optimization and application seminar, since October 2017 
 Chairman of the Mathematical Colloquium in Osijek, since January 2017 
 Erasmus+ coordinator on Department of Mathematics, since 2013  2017
Teaching
Konzultacije (Office Hours):
Termini sljedećih konzultacija:
 srijeda 22.5.2019. u 10 sati
Teme diplomskih i završnih radova:
U nastavku se nalaze nazivi tema i kratki opis, a više informacija studenti mogu dobiti na konzultacijama. Mole se zaniteresirani studenti da se jave ukoliko su zainteresirani za neku od tema.
 Numeričko rješavanje običnih diferencijalnih jednadžbi
 obraditi osnovne metode: Eulerova i osnovne Runge Kutta metode
 implementirati ih u Matlabu ili Cu i ilustrirati efikasnost na primjerima  QR dekompozicija s pivotiranjem
 obraditi QR dekompoziciju i QR dekompoziciju s pivotiranjem
 implementirati ju u Matlabu
 na primjerima pokazati osnovne primjene npr. na određivanje ranga matrice  Schurova dekompozicija i primjene
 definirati definirati Schurovu dekompoziciju
 obraditi osnovna svojstva i primjene
 implementirati i ilustrirati na primjeru  Stabilnost sustava
obraditi pojam stabilnosti
obraditi glavne teorijske rezultate s naglaskom na primjenu u robotici i mehaničkim sustavima
implementirati metode za stabilizaciju i na primjerima napraviti usporedbu i ilustriraciju  Metoda Gaussovih eliminacija s potpunim pivotiranjem
 obraditi metodu Gaussovih eliminacija s potpunim pivotiranjem
 u Matlabu napraviti ilustraciju metode kroz vizualizaciju koraka
 napraviti vizualizaciju rjesenja dvije jednadzbe s dvije nepoznanice  AHP metoda za odlučivanje
 izgraditi model za rješavanje višekriterijskih problema odlučivanja;
 primjeniti AHP metodu za hijerarhijsko odlučivanje na primjerima  Rezononcija
 obraditi pojam rezonancije kod mehaničkih sustava
 na primjerima sa dvije ili tri mase ilustrirati rezonanciju  Iterativne metode za rješavanje linearnih sustava
 napraviti osnovni pregled iterativnih metode za sustave
 imlementirati neku od metoda te napraviti ilustraraciju na numeričkim primjerima  NPpotpuni problem i redukcija problema
 definirati pojam NPpotpnog problema
 obraditi pojam redukcije i detaljno ilustrirati redukciju na primjeru
Nastavne aktivnosti u zimskom semestru Akademske 2018/2019
Matematička teorija računarstva, predavanja i vježbe
 petkom od 8 do 12 sati
Građevinski fakultet Osijek
Matematika na prvoj godini Arhitekture i urbanizma
utorkom od 10 do 12 sati
Nastavne aktivnosti u ljetnom semestru Akademske 2018/2019
Računarski praktikum, predavanja i vježbe
 petkom 8:00  11:00
Teorija odlučivanja, predavanja i vježbe
 srijedom 8:00  10:00
Nastavne aktivnosti u prošlosti (Past Courses)
PhD study, Parameter Dependent Nonlinear Eigenvalue Problems (with Prof. N. Truhar) (summer semester 2017/2018)
Matematička teorija računarstva (Mathematical theory of computation) (exercises and lectures, winter semester 13/14, 14/15, 15/16, 16/17,17/18)
Teorija odlučivanja (Decision theory) (exercises and lectures, winter semester 13/14, 14/15, 15/16, 16/17,17/18)
Metode optimizacije (Optimization methods), (vježbe, winter semestar 08/09, 09/10, 10/11, 11/12, 12/13, 13/14, 16/17)
Numerička linearna algebra (Numerical linear algebra), (exercises, winter semester 06/07, 08/09, 09/10, 10/11, 11/12, 12/13, summer semester 07/08)
Računarski praktikum, (exercises and lectures, ljetni semestar 08/09, 09/10, 11/12, 12/13, 13/14, 14/15,15/16, 16/17, 17/18)
Metodika nastave informatike, (exercises and lectures, winter semester 11/12, 12/13, 13/14, 14/15, 15/16)
Elementarna geometrija (Elementary geometry), (exercises, ljetni semestar 05/06, 06/07)
Obične diferencijalne jednadžbe (Ordinary differential equations), (exercises, zimski semestar 06/07, 07/08)
Numerička matematika (Numerical mathematics), (exercises, zimski semestar 07/08, ljetni semestar 08/09)
Integralni račun (Integral calculus), (vježbe, ljetni semestar 09/10, 10/11)
Odjel za fiziku (Department of Physics)
Diferencijalne jednadžbe (Differential equations), vježbe, ljetni semestar 06/07, 10/11, 11/12
Ekonomski fakultet (Faculty of Economycs)
Matematika (Mathematics), (vježbe, zimski semestar 07/09, 08/09, 09/10, 10/11, 11/12, predavanja, zimski semestar 12/13)
Prehrambeno tehnološki fakultet
Inženjerska matematika , (vježbe 08/09, 10/11, 11/12, 12/13) Primijenjena matematika (vježbe 08/09, 09/10,11/12, 12/13, 13/14)
Građevinski fakultet Osijek
Matematika (na razlikovnoj godini), exercises and lectures 12/13, 13/14,16/17
Matematika (na Arhitekturi i urbanizmu) (winter semester 16/17, 17/18)
VSPU
Poslovna matematika, predavanja i vježbe 12/13, 13/14
Personal