Papers
19
Total Citations
994
H-Index
11
About
Baoping Jiang is a leading researcher in advanced control systems, with a primary focus on sliding mode control, fuzzy logic systems, and networked control systems, particularly for nonlinear and stochastic Markovian jump systems. His major contributions include pioneering event-triggered fuzzy sliding-mode control for semi-Markovian switching systems, which has garnered over 216 citations, and observer-based adaptive sliding mode control for nonlinear stochastic systems, cited more than 207 times. Jiang's work on robot path planning, using improved simulated annealing and artificial potential field methods, has also been highly influential, with papers accumulating over 127 and 104 citations, respectively. His research extends to reliable control of descriptor systems and adaptive fault-tolerant control for robotic manipulators, demonstrating practical applications in robotics and automation. With a total citation count exceeding 900 across his top papers, Jiang's innovative approaches to handling uncertainties, time delays, and actuator faults have significantly advanced the field of nonlinear control theory. Notable achievements include his contributions to T–S fuzzy modeling and neural network-based sliding mode techniques, which are widely used in industrial and robotic systems.
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