Yvonne Yaz, Ph.D.
Professor, Program Director
- Milwaukee WI UNITED STATES
- Walter Schroeder Library: L317
- Mathematics
Dr. Yvonne Yaz's areas of interest include actuarial science and applied mathematics.
Multimedia
Education, Licensure and Certification
Ph.D.
Mathematics
University of Arkansas
1991
M.S.
Mathematics
Bosphorus University
1984
B.S.
Mathematics
Bosphorus University
1982
B.S.
Electrical Engineering
Bosphorus University
1980
Biography
Areas of Expertise
Accomplishments
The Falk Engineering Educator Award
2009
Centenary College Alumni Research Award
2000
Centenary College Faculty Pacesetter Award
1995 and 1997
The John Keese Award for Outstanding Graduate Teaching Assistant
University of Arkansas, 1989
Affiliations
- Sigma Xi : Member
- Mathematical Association of America : Member
Social
Media Appearances
Actuarial science students honored for achievements
MSOE News
2019-05-08
“We are so proud of our students' success on these challenging exams," said Dr. Yvonne Yaz, actuarial science program director. "It is a testament to how we are leading the way and preparing our students for their future careers.”
Math teacher explains odds of winning Powerball
WISN Milwaukee
2016-01-13
MSOE Professor Dr. Yvonne Yaz shows how the lottery odds are calculated.
Event and Speaking Appearances
Discrete-Time Robust Controller Design for a Class of Non-linear Systems with Uncertainties
Proceedings of 52nd IEEE Conference on Decision and Control Florence, Italy, 2013
Discrete-Time Resilient Controller Design with General Criteria for a Class of Uncertain Non-linear Systems
Proceedings of American Control Conference Portland, OR, 2014
A Resilient Extended Kalman Filter for Discrete-time Nonlinear Stochastic Systems With Sensor Failures
Proceeddings of 2012 American Control Conference Montreal, Canada, 2012
Stochastically Resilient Observer Design for a Class of Discrete -Time Nonlinear Systems
Proceedings of the 4th Annual Dynamic Systems and Control Conference Arlington, VA, 2011
Robust Controller Design with General Criteria for Uncertain Conic Nonlinear Systems with Disturbances
Proceedings of American Control Conference Washington DC, 2013
Research Grants
Enhancing Mathematics Reform Through a Calculus Lab
Louisiana Board of Regents Support Fund (LEQSF) Grant
2000
Co-PIs include Dr. Mark Schlatter and Dr. David Thomas
Conference on Decision and Control (IEEE CDC)
NSF Travel Grant $750
2000
Cognitive Science, Computer Science and Mathematics Computer Lab
State of Louisiana Education Quality Support Fund (LEQSF)
1998
Co-PIs include Dr. Ken Aizawa
Enhancing Mathematics Reform
State of Louisiana Education Quality Support Fund (LEQSF)
1997
Co-PIs include Dr. D. Thomas
Conference on Decision and Control (IEEE CDC)
NSF Travel Grant
1991
Selected Publications
H2−H∞ control of discrete-time nonlinear systems using the state-dependent Riccati equation approach
Systems Science & Control EngineeringWang, X., Yaz, E.E., Schneider, S.C., Yaz, Y.I.
2017
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a generalized control framework to discrete-time nonlinear system. By solving a generalized Riccati equation at each time step, the nonlinear state feedback control solution is found to satisfy mixed performance criteria guaranteeing quadratic optimality with inherent stability property in combination with H∞ type of disturbance attenuation. Two numerical techniques to compute the solution of the resulting Riccati equation are presented: The first one is based on finding the steady-state solution of the difference equation at every step and the second one is based on finding the minimum solution of a linear matrix inequality. The effectiveness of the proposed techniques is demonstrated by simulations involving the control of an inverted pendulum on a cart, a benchmark mechanical system.
H2−H∞ control of continuous-time nonlinear systems using the state-dependent Riccati equation approach
Systems Science & Control EngineeringWang, X., Yaz, E.E., Schneider, S.C., Yaz, Y.I.
2017
This paper presents a novel state-dependent Riccati equation (SDRE) control approach with the purpose of providing a more effective control design framework for continuous-time nonlinear systems to achieve a mixed nonlinear quadratic regulator and H∞ control performance criteria. By solving the generalized SDRE, the optimal control solution is found to achieve mixed performance objectives guaranteeing nonlinear quadratic optimality with inherent stability property in combination with H∞ type of disturbance reduction. An efficient computational algorithm is given to find the solution to the SDRE. The efficacy of the proposed technique is used to design the control system for inverted pendulum, an under-actuated nonlinear mechanical system.
Design of mixed H2-dissipative observers with stochastic resilience for discrete-time nonlinear systems
Journal of the Franklin InstituteJeong, C.S., Yaz, E.E., Yaz, Y.I.
2011
A linear matrix inequality based mixed H2-dissipative type state observer design approach is presented for smooth discrete time nonlinear systems with finite energy disturbances. This observer is designed to maintain H2 type estimation error performance together with either H∞ or a passivity type disturbance reduction performance in case of randomly varying perturbations in its gain. A linear matrix inequality is used at each time instant to find the time-varying gain of the observer. Simulation studies are included to explore the performance in comparison to the extended Kalman filter and a previously proposed constant gain observer counterpart.
Discrete-Time resilient controller design with General Criteria for a Class of uncertain nonlinear systems
American Control ConferenceFeng, F., Yaz, E.E., Schneider, S.C., Yaz, Y.I.
2014
A discrete-time resilient state feedback control scheme is presented to control nonlinear systems with locally conic type of nonlinearities and driven by finite energy disturbances. The resilience property is achieved in the presence of bounded perturbations in the feedback gain. The controller design is also robust as the design process addresses system models containing a higher degree of uncertainty by allowing perturbations in both the system parameters as well as the center and the boundaries of the cone in which the nonlinearity resides. Results are presented for various performance criteria in a unified framework using linear matrix inequalities (LMIs). Illustrative examples are included to demonstrate the efficiency of the proposed approach.
Discrete-time robust controller design for a class of nonlinear systems with uncertainties
52nd IEEE Conference on Decision and ControlFeng, F., Yaz, E.E., Schneider, S.C., Yaz, Y.I.
2013
A discrete-time robust state feedback scheme is proposed to control a large class of uncertain nonlinear systems with locally conic type nonlinearities and driven by finite energy disturbances using linear matrix inequalities. In order to allow the robust control of systems whose models contain a higher degree of uncertainty, perturbations regarding the center and the boundaries of the cone in which the nonlinearity resides are considered in this work. Results are presented for various performance criteria in a unified design framework. Illustrative examples are included to demonstrate the effectiveness of the proposed methodology.
