7 citations · 10 across the 3 of their papers we have counts for
4 papers
Deep Learning of Koopman Representation for Control
Yiqiang Han, Wenjian Hao, Umesh Vaidya
We develop a data-driven, model-free approach for the optimal control of the dynamical system. The proposed approach relies on the Deep Neural Network (DNN) based learning of Koopm…
Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments
Wenjian Hao, Rongyao Wang, Alexander Krolicki +1
Proper path planning is the first step of robust and efficient autonomous navigation for mobile robots. Meanwhile, it is still challenging for robots to work in a complex environme…
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach
Wenjian Hao, Yiqiang Han
This paper compares two different types of data-driven control methods, representing model-based and model-free approaches. One is a recently proposed method - Deep Koopman Represe…
Automated Testing for Deep Learning Systems with Differential Behavior Criteria
Yuan Gao, Yiqiang Han
In this work, we conducted a study on building an automated testing system for deep learning systems based on differential behavior criteria. The automated testing goals were achie…