Su Whan Sung

Batch-process identification under repetitive and deterministic disturbances using differenced batch data

YuJin Cheon, Kyungrok Jeong, Jiyun Kim, Kyung Hwan Ryu et autres

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Direct data-driven controller design using fictitious reference and regression

Jiyun Kim, Jae Pil Heo, Kyung Hwan Ryu, Su Whan Sung

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Is Hydra Axis Definition a Fluctuation-Based Process Picking Up External Cues?

Mikhail A. Zhukovsky, Su Whan Sung, Albrecht Ott

Axis definition is of primordial importance for embryogenesis. During regeneration of Hydra vulgaris from a random cell aggregate or a sufficiently small fragment of tissue, a hollow cell spheroid emerges that undergoes symmetry breaking and axis definition. In the past, we published …

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A Robust Process Identification Method under Deterministic Disturbance

Young-Jin Yook, Syng Chul Chu, Chang Gyu Im, Su Whan Sung et autres

This study introduces a novel process identification method aimed at overcoming the challenge of accurately estimating process models when faced with deterministic disturbances, a common limitation in conventional identification methods. The proposed method tackles the difficult modeling problems due to deterministic disturbances …

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New non-interactive form of the proportional-integral-derivative-acceleration (PIDA) controller and its explicit tuning rule

Jae Pil Heo, Sanghun Lim, Chang Gyu Im, Kyung Hwan Ryu et autres

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Pulse response method for the Wiener-type nonlinear process identification

Sanghun Lim, Jea Pil Heo, Kyung Hwan Ryu, Su Whan Sung et autres

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A new PID controller design using differential operator for the integrating process

Sanghun Lim, Young-Jin Yook, Jea Pil Heo, Chang Gyu Im et autres

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Perturbation-based pH control systems for buffer and equivalence points

Sanghun Lim, Jea Pil Heo, Gwang‐Noh Ahn, Kyung Hwan Ryu et autres

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Shallow Fully Connected Neural Network Training by Forcing Linearization into Valid Region and Balancing Training Rates

Jea Pil Heo, Chang Gyu Im, Kyung Hwan Ryu, Su Whan Sung et autres

A new supervisory training rule for a shallow fully connected neural network (SFCNN) is proposed in this present study. The proposed training rule is developed based on local linearization and analytical optimal solutions for linearized SFCNN. The cause of nonlinearity in neural …

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Improved Continuous-Cycling Method for PID Autotuning

Kyeong Hoon Kim, Jeong Eun Bae, Syng Chul Chu, Su Whan Sung

An improved continuous-cycling method is proposed for the autotuning of the proportional–integral–derivative (PID) controller. The proposed method can identify the frequency response of the process at a preset phase angle without a modeling error. Moreover, it provides an exact frequency response even …

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Development of an Antiwindup Technique for a Cascade Control System

Jeong Eun Bae, Kyeong Hoon Kim, Syng Chul Chu, Jaepil Heo et autres

A cascade control system comprising the primary and secondary controllers suffers from a cascade-type integral windup problem in which the output saturation of the secondary control loop can considerably increase the integral part of the primary control loop. In this paper, we …

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Real‐time optimization for nonlinear processes including output saturation

Gwang‐Noh Ahn, Sanghun Lim, Su Whan Sung, Jietae Lee

Abstract Output saturation is observed in many chemical processes and microbial cultivation processes. In these processes, output saturation can cause a number of control problems near the saturation point due to the nonlinear continuous input multiplicity interval after the saturation point. In …

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