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Beyond Ellipsoids: Semi-Algebraic Tightening for Chance Constraints Under Actuator Saturation
US & West ·
arXiv:2607.19639v2 Announce Type: replace-cross Abstract: Motivated by stochastic model predictive control applications, we develop a semialgebraic framework for constraint tightening in chance-constrained systems with unbounded additive disturbances and saturated inputs.
Original headline
Beyond Ellipsoids: Semi-Algebraic Tightening for Chance Constraints Under Actuator Saturation
arXiv:2501.05815v2 Announce Type: replace Abstract: This paper introduces a novel nonlinear model predictive control (NMPC) framework that incorporates a lifting technique to enhance control performance for nonlinear systems.
arXiv:2609.30269v1 Announce Type: new Abstract: Why does a superior technology sometimes spread and sometimes stall, even when its expected returns are much higher? We develop an agent-based model in which firms adopt a digital technology by imitating successful neighbours through a fast-and-frugal…
A generic formalism is proposed to represent and control large-scale systems of systems through agent-based simulation. Organizational aspects use the Agent-Group-Role model, functional aspects a goal specification, and multilevel aspects the IRM4MLS meta-model, covering both static and dynamic properties.