Hai Feng Zhao

Papers

Total Citations

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About

Dr. Hai Feng Zhao is a leading researcher in nonlinear control systems and model predictive control (MPC), with a focus on autonomous robotics and constrained dynamical systems. His work bridges theoretical rigor and practical implementation, particularly for nonholonomic mobile robots and systems tracking complex, time-varying references. In his highly cited 2020 paper (27 citations), Zhao introduced a nonlinear MPC framework with a time-varying terminal cost, enabling stable tracking of unreachable periodic references—a significant advance for systems like walking robots or satellite formations. His 2023 work (21 citations) further pushed boundaries by developing a switched MPC strategy with adaptive dwell time and a novel dual-terminal set, dramatically reducing online computational complexity while ensuring stability under multiple constraints. This innovation addresses a critical bottleneck in real-time robot control. Zhao’s contributions have earned him recognition for solving long-standing challenges in constrained nonlinear control, with his methods now influencing both academic research and industrial applications in autonomous navigation. His work exemplifies how elegant theoretical solutions can drive practical robotics forward.