56 citations · 66 across the 4 of their papers we have counts for
4 papers
An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning
Sitan Li, Chien Chern Cheah
In most control applications, theoretical analysis of the systems is crucial in ensuring stability or convergence, so as to ensure safe and reliable operations and also to gain a b…
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics
Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh
Deep learning (DL) has achieved great success in many applications, but it has been less well analyzed from the theoretical perspective. The unexplainable success of black-box DL m…
A Differential-Cascaded Paradigm for Control of Nonlinear Systems
Hanlei Wang, Wei Ren, Chien Chern Cheah
This paper focuses on developing a new paradigm motivated by investigating the consensus problem of networked Lagrangian systems with time-varying delay and switching topologies. W…
Dynamic Modularity Approach to Adaptive Inner/Outer Loop Control of Robotic Systems
Hanlei Wang, Wei Ren, Chien Chern Cheah +2
Modern applications of robotics typically involve a robot control system with an inner PI (proportional-integral) or PID (proportional-integral-derivative) control loop and an oute…