Cheng-Chung Chang

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About

Cheng-Chung Chang is a leading figure in the field of intelligent control systems, with a particular focus on the design and implementation of Takagi-Sugeno (T-S) fuzzy controllers for mobile robotics. His most cited work, "Design of T-S fuzzy controller for two-wheeled mobile robot" (2011), introduces a groundbreaking approach to position control by representing the kinematic equations of a differentially driven wheeled mobile robot as exact T-S fuzzy systems. This contribution provides a robust framework for switching fuzzy model-based control, enabling precise and stable navigation in complex environments. With over 5 citations, this paper has influenced subsequent research in nonlinear control and autonomous systems. Chang’s work bridges theoretical fuzzy logic with practical robotic applications, offering engineers and researchers a powerful tool for designing adaptive controllers. His achievements underscore a commitment to advancing intelligent automation, making his research essential for students and professionals exploring fuzzy control, mobile robotics, and autonomous vehicle dynamics.