activity
20172022
most citedSynthesis of model predictive control based on data-driven learning

14 citations · 29 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

math.OC2020★ 3 cited

Data-driven approximation for feasible regions in nonlinear model predictive control

Yuanqiang Zhou, Dewei Li, Yugeng Xi +1

This paper develops a data-driven learning framework for approximating the feasible region and invariant set of a nonlinear system under the nonlinear Model Predictive Control (MPC…

math.OC2020

Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics

Yuanqiang Zhou, Dewei Li, Yugeng Xi

This paper investigates the data-driven predictive control problems for a class of continuous-time industrial processes with completely unknown dynamics. The proposed approach empl…

eess.SY2020

Characterizing Bipartite Consensus on Signed Matrix-Weighted Networks via Balancing Set

Chongzhi Wang, Lulu Pan, Haibin Shao +2

In contrast with the scalar-weighted networks, where bipartite consensus can be achieved if and only if the underlying signed network is structurally balanced, the structural balan…

eess.SY2020★ 4 cited

Consensus on Matrix-weighted Time-varying Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This paper examines the consensus problem on time-varying matrix-weighed undirected networks. First, we introduce the matrix-weighted integral network for the analysis of such netw…

eess.SY2020

On the Controllability of Matrix-weighted Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This letter examines the controllability of consensus dynamics on matrix-weighed networks from a graph-theoretic perspective. Unlike the scalar-weighted networks, the rank of weigh…