80 citations · 109 across the 15 of their papers we have counts for
16 papers
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems
Yujia Yang, Chris Manzie, Ye Pu
Moving horizon estimation (MHE) offers benefits relative to other estimation approaches by its ability to explicitly handle constraints, but suffers increased computation cost. To…
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints
Seth Siriya, Jingge Zhu, Dragan Nešić +1
We consider the problem of adaptive stabilization for discrete-time, multi-dimensional linear systems with bounded control input constraints and unbounded stochastic disturbances,…
Second-order Properties of Noisy Distributed Gradient Descent
Lei Qin, Michael Cantoni, Ye Pu
We study a fixed step-size noisy distributed gradient descent algorithm for solving optimization problems in which the objective is a finite sum of smooth but possibly non-convex f…
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints
Seth Siriya, Jingge Zhu, Dragan Nešić +1
We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, wit…
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates
Yujia Yang, Ye Wang, Chris Manzie +1
The application of distributed model predictive controllers (DMPC) for multi-agent systems (MASs) necessitates communication between agents, yet the consequence of communication da…
Data-driven Predictive Tracking Control based on Koopman Operators
Ye Wang, Yujia Yang, Ye Pu +1
Constraint handling during tracking operations is at the core of many real-world control implementations and is well understood when dynamic models of the underlying system exist,…