7 papers
Asynchronous Model Predictive Control Under Model Mismatch: Stability and Performance Guarantees
Changrui Liu, Anil Alan, Shengling Shi +1
Certainty-equivalence model predictive control (CE-MPC) is widely used for its simplicity and efficiency, but theoretical guarantees under asynchronous feedback remain limited. Thi…
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
Changrui Liu, Shengling Shi, Anil Alan +2
Efficient energy management is essential for reliable and sustainable microgrid operation amid increasing renewable integration. In this paper, an imitation learning-based framewor…
Robust Adaptive Discrete-Time Control Barrier Certificate
Changrui Liu, Anil Alan, Shengling Shi +1
This work develops a robust adaptive control strategy for discrete-time systems using Control Barrier Functions (CBFs) to ensure safety under parametric model uncertainty and distu…
Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
Changrui Liu, Shengling Shi, Bart De Schutter
Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalenc…
Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
Leila Gharavi, Changrui Liu, Bart De Schutter +1
Nonlinear Programs (NLPs) are prevalent in optimization-based control of nonlinear systems. Solving general NLPs is computationally expensive, necessitating the development of fast…
Cooperative Relative Localization in MAV Swarms with Ultra-wideband Ranging
Changrui Liu, Sven U. Pfeiffer, Guido C. H. E. de Croon
Relative localization (RL) is essential for the successful operation of micro air vehicle (MAV) swarms. Achieving accurate 3-D RL in infrastructure-free and GPS-denied environments…