Publications by authors named "Abdullah Ates"

The aim of the present study was to evaluate physical carrying capacity of a potential cage aquaculture site near a Cittaslow area in the northern part of the Mediterranean (Sigacik Bay, Turkey). Developing tools for timely management of marine aquaculture facilities are important to minimize harmful influences of fish farming. The physical carrying capacity was estimated by mathematical formulations previously developed for the same area, using data of topographical characteristics of the site, production capacities, and leased area information of fish farms in total.

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This study presents a model reference adaptive control scheme based on reference-shaping approach. The proposed adaptive control structure includes two optimizer processes that perform gradient descent optimization. The first process is the control optimizer that generates appropriate control signal for tracking of the controlled system output to a reference model output.

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This paper presents an optimization method based on the Tabu Search Algorithm (TSA) to design a Fractional-Order Proportional-Integral-Derivative (FOPID) controller. All parameter computations of the FOPID employ random initial conditions, using the proposed optimization method. Illustrative examples demonstrate the performance of the proposed FOPID controller design method.

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This study investigates effects of fractional order perturbation on the robust stability of linear time invariant systems with interval uncertainty. For this propose, a probabilistic stability analysis method based on characteristic root region accommodation in the first Riemann sheet is developed for interval systems. Stability probability distribution is calculated with respect to value of fractional order.

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This study presents numerical methods for robust stability analysis of closed loop control systems with parameter uncertainty. Methods are based on scan sampling of interval characteristic polynomials from the hypercube of parameter space. Exposed-edge polynomial sampling is used to reduce the computational complexity of robust stability analysis.

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