1 citations · 2 across the 18 of their papers we have counts for
8 papers · 1 filter
On the suboptimality of stochastic MPC with varying constraint horizon
Allan Andre Do Nascimento, Andre Bertolace, Antonis Papachristodoulou +1
Enforcing stochastic state constraints over the full prediction horizon in Model Predictive Control (MPC) can be computationally demanding. Here we study stochastic MPC without ter…
A New Approach for Feedback Stabilization and its Application for Data-Driven Control of Polynomial Systems
Diego de S. Madeira, Joao Gabriel N. Silva, Wilkley B. Correia +1
Inspired by recent developments in dissipativity-based control, this work proposes new sufficient conditions for asymptotic stabilization of nonlinear systems using state feedback.…
Acceleration of Moment Bound Optimization for Stochastic Chemical Reactions Using Reaction-wise Sparsity of Moment Equations
Tomoki Sadatoshi, Antonis Papachristodoulou, Yutaka Hori
Moment dynamics in stochastic chemical kinetics often involve an infinite chain of coupled equations, where lower-order moments depend on higher-order ones, making them analyticall…
On the Design of Rational Polynomial State Feedback Controllers
Matthew Newton, Zuxun Xiong, Han Wang +1
One of the desirable objectives in feedback control design is to formulate and solve the design problem as an optimisation problem that is convex, so that an optimal solution can b…
Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
Marta Fochesato, Han Wang, Antonis Papachristodoulou +1
We study the problem of co-designing control barrier functions and linear state feedback controllers for discrete-time linear systems affected by additive disturbances. For disturb…
Data-Enabled Predictive Control for Nonlinear Systems Based on a Koopman Bilinear Realization
Zuxun Xiong, Zhenyi Yuan, Keyan Miao +3
This paper extends the Willems' Fundamental Lemma to nonlinear control-affine systems using the Koopman bilinear realization. This enables us to bypass the Extended Dynamic Mode De…
Data-Driven Stable Neural Feedback Loop Design
Zuxun Xiong, Han Wang, Liqun Zhao +1
This paper proposes a data-driven approach to design a feedforward Neural Network (NN) controller with a stability guarantee for plants with unknown dynamics. We first introduce da…
Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints
Han Wang, Kostas Margellos, Antonis Papachristodoulou +1
We study the problem of co-designing control barrier functions (CBF) and linear state feedback controllers for continuous-time linear systems. We achieve this by means of a single…