Yoke Peng Leong
Papers
2
Total Citations
22
H-Index
2
About
Dr. Yoke Peng Leong is a leading researcher at the intersection of optimal control theory and nonlinear dynamical systems, with a primary focus on overcoming the computational barriers that have historically limited the application of optimal control in high-dimensional settings. Her most impactful contribution is the development of a novel sequential alternating least squares method for solving the high-dimensional linear Hamilton-Jacobi-Bellman (HJB) equation, a cornerstone of optimal control that suffers from the "curse of dimensionality." This work, which has garnered 20 citations, provides a computationally tractable path to generating globally optimal controllers for stochastic affine nonlinear systems. Dr. Leong’s research is deeply motivated by practical challenges in robotics, where nonlinearity is unavoidable and correctness is as critical as optimality. In her subsequent work on optimal controller synthesis for nonlinear systems, she addresses the dual demands of achieving optimal performance while guaranteeing system properties like stability and obstacle avoidance. By bridging the gap between theoretical optimality and real-world engineering constraints, Dr. Leong is establishing herself as a key figure in making advanced control synthesis both rigorous and deployable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal Controller Synthesis for Nonlinear Systems2 citations · 2018