Oguzhan Cifdaloz

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— This paper addresses designing finite dimensional linear time invariant (LTI) controllers for infinite dimensional LTI plants subject to H ∞ mixed-sensitivity performance objectives and convex constraints. Specifically, we focus on designing control systems for two classes of systems which are generally described by hyperbolic partial differential(More)
Change in freshwater availability is arguably one of the most pressing issues associated with global change. Agriculture, which uses roughly 70% of the total global freshwater supply, figures prominently among sectors that may be adversely affected by global change. Of specific concern are small-scale agricultural systems that make up nearly 90% of all(More)
This paper presents a framework for the study of policy implementation in highly uncertain natural resource systems in which uncertainty cannot be characterized by probability distributions. We apply the framework to parametric uncertainty in the traditional Gordon–Schaefer model of a fishery to illustrate how performance can be sacrificed (traded-off) for(More)
— This paper examines the design of digital com-pensators for high frequency switching dc-dc buck converters. While a high sampling frequency is desirable for digital controllers to minimize intersample effects and recover the performance of the analog compensator (e.g. regulation, robustness with respect input voltage and load fluctuations), finite(More)
— This paper shows how convex optimization may be used to design near-optimal finite-dimensional compen-sators for stable linear time invariant (LTI) infinite dimensional plants. The infinite dimensional plant is approximated by a finite dimensional transfer function matrix. The Youla parameterization is used to parameterize the set of all stabilizing LTI(More)
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