Cheng‐Chang Chen

National Yang Ming Chiao Tung University, Tamkang University

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About

Cheng-Chang Chen is a researcher whose work bridges the critical domains of advanced control theory and wireless sensor network optimization. His key research areas include robust control systems, specifically the integration of Takagi-Sugeno (T-S) fuzzy modeling with sliding mode control (SMC), and the efficient deployment of wireless sensor networks (WSNs). Chen’s most significant contribution is his pioneering study on T-S model-based SMC schemes, applied to robot control, which has garnered 84 citations and highlights his impact on developing robust controllers for complex second-order systems. This work demonstrates a sophisticated approach to combining fuzzy logic with nonlinear control to enhance system stability and performance. In the field of WSNs, Chen has addressed practical deployment challenges, including impasse-aware node placement and dead-end-free algorithms for environments with obstacles. His 2017 paper on impasse-aware mechanisms (11 citations) and his 2010 work on obstacle-resistant deployment showcase his commitment to solving real-world sensor coverage problems, ensuring high-quality monitoring with minimal hardware. Through these contributions, Chen has advanced both theoretical control methodologies and practical network deployment strategies, making his research valuable for students and engineers working on robotics, automation, and IoT systems.