Zhiwei Gao
Papers
10
Total Citations
481
H-Index
5
About
Zhiwei Gao is a leading researcher in robust fault estimation, fault-tolerant control, and intelligent robotic systems. His most cited work, “Unknown Input Observer Based Robust Fault Estimation for Systems Corrupted by Partially-Decoupled Disturbances” (2015, 372 citations), introduces a powerful technique for simultaneously estimating system states and faults while minimizing disturbance effects—a critical contribution to real-time monitoring and diagnosis in complex industrial processes. Gao has further advanced the field with studies on finite-time fault estimation for stochastic nonlinear systems (48 citations) and iterative learning fault diagnosis for repetitive systems with Brownian motion. His research extends to practical applications, including model-based sensor fault detection in Wireless Sensor Actuator Networks and cutting-edge robotic control, such as an intelligent impedance strategy for force-motion control using deep reinforcement learning (2025). More recently, Gao has explored nonlinear optimal control for free-floating space manipulators and underactuated wheeled bipedal robots, demonstrating versatility across aerospace and autonomous systems. With a career spanning foundational theory to applied robotics, Gao’s work has garnered over 480 citations, solidifying his impact on automation, safety, and intelligent control.
Research Focus
Key Achievements
Top Papers
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- 7Nonlinear optimal control for free-floating space robotic manipulators4 citations · 2024
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- 9A Nonlinear Optimal Control Approach for Multi-DOF Brachiation Robots3 citations · 2021
- 10Nonlinear Optimal Control of the Underactuated Wheeled Bipedal Robot2 citations · 2025