Jiande Yan
Papers
1
Total Citations
1
H-Index
1
About
Dr. Jiande Yan is a researcher in nonlinear control systems, with a primary focus on intelligent and event-triggered control strategies for uncertain dynamics. His most cited work introduces a novel robust approximation-based event-triggered control method for single-input single-output (SISO) nonlinear continuous-time systems, addressing the critical challenges of unmeasurable states and external disturbances. A key innovation in this contribution is the use of a single neural network (NN) to approximate the unknown system dynamics, eliminating the need for a state observer and thereby reducing computational complexity. While this foundational paper has garnered 1 citation, it represents a significant step toward efficient, resource-aware control design. Dr. Yan’s research sits at the intersection of neural network approximation and event-triggered mechanisms, aiming to enhance the practicality of nonlinear control in real-world applications. His work is particularly relevant for students and researchers interested in robust control, adaptive systems, and the integration of machine learning into control theory.
Research Focus
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Top Papers
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