collaborators

5 papers

eess.SY2024

Stochastic MPC for Finite Gaussian Mixture Disturbances with Guarantees

Maico H. W. Engelaar, Micha P. P. Swaanen, Mircea Lazar +1

This paper presents a stochastic model predictive control (SMPC) algorithm for linear systems subject to additive Gaussian mixture disturbances, with the goal of satisfying chance…

eess.SY2024

Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications

Maico H. W. Engelaar, Zengjie Zhang, Eleftherios E. Vlahakis +3

This paper addresses the control synthesis of heterogeneous stochastic linear multi-agent systems with real-time allocation of signal temporal logic (STL) specifications. Based on…

eess.SY2024

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics

Maico H. W. Engelaar, Zengjie Zhang, Mircea Lazar +1

This paper concerns the risk-aware control of stochastic systems with temporal logic specifications dynamically assigned during runtime. Conventional risk-aware control typically a…

eess.SY2023

Stochastic Model Predictive Control with Dynamic Chance Constraints

Maico Hendrikus Wilhelmus Engelaar, Sofie Haesaert, Mircea Lazar

This work introduces a stochastic model predictive control scheme for dynamic chance constraints. We consider linear discrete-time systems affected by unbounded additive stochastic…

eess.SY2023

Abstracting Linear Stochastic Systems via Knowledge Filtering

Maico Hendrikus Wilhelmus Engelaar, Licio Romao, Yulong Gao +3

In this paper, we propose a new model reduction technique for linear stochastic systems that builds upon knowledge filtering and utilizes optimal Kalman filtering techniques. This…