Now showing items 15060-15079 of 18812

    • Robust inverse optimization 

      Ghobadi, Kimia; Lee, Taewoo; Mahmoudzadeh, Houra; Terekhov, Daria (Elsevier, 2018-05-01)
      Given an observation of a decision-maker’s uncertain behavior, we develop a robust inverse optimization model for imputing an objective function that is robust against mis-specifications of the behavior. We characterize ...
    • Robust Methods for Interval-Censored Life History Data 

      Tolusso, David (University of Waterloo, 2008-08-20)
      Interval censoring arises frequently in life history data, as individuals are often only observed at a sequence of assessment times. This leads to a situation where we do not know when an event of interest occurs, only ...
    • Robust Methods of Testing Long Range 

      Wang, Li (University of Waterloo, 2007-10-01)
      This thesis develops a novel robust periodogram method for detecting long memory. Though many test for long memory are based on the idea of linear regression, there exists no results in statistical literature on utilizing ...
    • Robust Model for Fatigue Life Estimation from Monotonic Properties Data for Steels 

      Hartman, Derek (University of Waterloo, 2013-06-18)
      Determining the fatigue properties (Manson-Coffin and Ramberg-Osgood parameters) for a steel material requires time consuming and expensive testing. In the early stages of a design process, it is not feasible to perform ...
    • Robust Multi-Class Multi-Period Scheduling of MRI Services with Wait Time Targets 

      Mirahmadi Shalamzari, Akram (University of Waterloo, 2018-01-23)
      In recent years, long wait times for healthcare services have become a challenge in most healthcare delivery systems in Canada. This issue becomes even more important when there are priorities in patients' treatment which ...
    • A Robust Neural Network Approach to Optimal Decumulation and Factor Investing in Defined Contribution Pension Plans 

      Chen, Marc (University of Waterloo, 2023-09-18)
      In this thesis, we propose a novel data-driven neural network (NN) optimization framework for solving an optimal stochastic control problem under stochastic constraints. The NN utilizes customized output layer activation ...
    • Robust Nonlinear Model Predictive Control of Biosystems described by Dynamic Metabolic Flux Models 

      ZHENG, HONGHAO (University of Waterloo, 2019-05-13)
      The accuracy of the model used for prediction in Nonlinear Model Predictive Controller (NMPC) is one of the main factors affecting the closed loop performance. Since it is impossible to formulate a perfect model for a real ...
    • Robust Nonlinear Model Predictive Control using Polynomial Chaos Expansions 

      Kumar, Divya (University of Waterloo, 2015-08-13)
      The performance of model predictive controllers (MPCs) is largely dependent on the accuracy of the model predictions as compared to the actual plant outputs. Irrespective of the model used, first-principles (FP) or empirical, ...
    • Robust Optical Engineering for a Trapped Ion Quantum Computer 

      Binai-motlagh, Ali (University of Waterloo, 2022-09-02)
      Trapped ions are one of the leading platforms for the implementation of quantum information processing (QIP), exhibiting one of the highest reported quantum gate and measurement fidelities. The challenge for the platform ...
    • A Robust Optimization Approach for Advance Scheduling in Health Care Systems with Demand Uncertainty: Policy Insights 

      Niazi Shahraki, Nafise (University of Waterloo, 2021-02-17)
      Patient wait times have increased significantly over the past few decades. According to the Canadian Institute for Health Information (CIHI), 40% of Canadians have experienced difficulties in receiving diagnostics tests. ...
    • A Robust Optimization Approach to the Self-scheduling Problem Using Semidefinite Programming 

      Landry, Jason Conrad (University of Waterloo, 2010-01-21)
      In deregulated electricity markets, generating companies submit energy bids which are derived from a self-schedule. In this thesis, we propose an improved semidefinite programming-based model for the self-scheduling problem. ...
    • Robust Optimization for Airline Scheduling and Vehicle Routing 

      Lu, Da (University of Waterloo, 2014-12-03)
      Robust optimization is an emerging modeling approach to make decisions under uncertainty. It provides an alternative framework to stochastic optimization where operational parameters are random and do not assume any ...
    • Robust Optimization for SCED in AC-HVDC Power Systems 

      Dehghani Filabadi, Milad (University of Waterloo, 2019-05-15)
      Wind power is a clean, renewable and low-carbon resource for power generation that has received increasing attention in power systems over the last few decades. There are two main challenges associated with the large-scale ...
    • Robust Optimization of a Post-combustion CO2 Capture Absorber Column under Process Uncertainty 

      Cerrillo Briones, Ilse Mariana (University of Waterloo, 2019-02-07)
      In recent years, greenhouse gas (GHG) emissions is a global concern due to high concentrations of these gases in the atmosphere. Carbon capture and storage (CCS) has been suggested as an attractive alternative to curb ...
    • Robust Risk Aggregation Techniques and Applications 

      Chen, Yuyu (University of Waterloo, 2022-08-23)
      Risk aggregation, which concerns the statistical behaviors of an aggregation position S(X) associated with a random vector X = (X1, . . . , Xn), is an important research topic in risk management, economics, and statistics. ...
    • Robust Search Methods for Rational Drug Design Applications 

      Sadjad, Bashir (University of Waterloo, 2009-12-08)
      The main topic of this thesis is the development of computational search methods that are useful in drug design applications. The emphasis is on exhaustiveness of the search method such that it can guarantee a certain level ...
    • Robust Sonographic Muscle Quality Assessment: A Live, Accurate Tissue Speed-of-Sound Estimation Framework 

      Xiao, Di (University of Waterloo, 2024-02-23)
      Muscle quality can act as an indicator for physical health through qualitative – yet measurable – changes in muscle architecture and composition. One option for assessing muscle quality is through musculoskeletal ultrasound, ...
    • Robust Spline Path Following for Redundant Mechanical Systems 

      Gill, Rajan (University of Waterloo, 2015-05-20)
      Path following controllers make the output of a control system approach and traverse a pre-specified path with no a priori time-parametrization. The first part of the thesis implements a path following controller for a ...
    • Robust thermal control for CMOS-based lab-on-chip systems 

      Martinez-Quijada, Jose; Ma, Tianchi; Hall, Gordon H.; Reynolds, Matt; Sloan, David; Caverhill-Godkewitsch, Saul; Glerum, D. Moira; Sameoto, Dan; Elliott, Duncan G.; Backhouse, Christopher J. (Institute of Physics, 2015-07-01)
      The need for precise temperature control at small scales has provided a formidable challenge to the lab-on-chip community. It requires, at once, good thermal conductivity for high speed operation, good thermal isolation ...
    • Robust Time-Optimal Control for the One-Dimensional Optical Lattice for Quantum Computation 

      Khani, Botan (University of Waterloo, 2011-10-04)
      Quantum information is a growing field showing exciting possibilities for computational speed-up and communications. For the successful implementation of quantum computers, high-precision control is required to reach ...

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