Papers
2
Total Citations
39
H-Index
2
About
Li-Gang Lin is a researcher whose work centers on the development and enhancement of nonlinear control theory, with a particular focus on the state-dependent Riccati equation (SDRE) scheme and its application to robotic systems. His major contributions lie in fundamentally improving the computational efficiency and analytical rigor of the SDRE framework. In his highly cited 2019 work, Lin introduced a novel analysis and alternative design of the SDRE scheme for the nonlinear control of a two-wheeled inverted pendulum robot, directly addressing the solvability of pointwise algebraic Riccati equations (AREs). Building on this, his 2020 paper presents a general theory for computationally enhancing the SDRE scheme by analytically alleviating the burden of solving AREs, offering a more efficient construction method. With his most-cited paper garnering 25 citations and his follow-up work receiving 14, Lin’s research has a clear and growing impact on the field of nonlinear control. His achievements are notable for bridging theoretical advancements with practical robotic control systems, providing a more tractable path for implementing complex nonlinear controllers in real-world applications.
Research Focus
Key Achievements
Top Papers
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