Search
CSV
RISParametric Multi-Objective Optimization for Simultaneous and Nested Control Co-Design Formulations With Tube-Based Model Predictive Controllers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Control co-design (CCD) aims to jointly optimize physical systems and controllers to achieve superior system-level performance compared to traditional sequential design. However, practical challenges, such as ...
Design of Approximate Explicit Model Predictive Controller Using Parametric Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper introduces a new technique, called stateparameterized nonlinear programming control (spNLPC), for designing a feedback controller that can stabilize intrinsically unstable nonlinear dynamical systems using ...
Control Co-Design With Performance-Robustness Trade-Off Using Tube-Based Stochastic Model Predictive Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Control co-design (CCD) has been demonstrated to achieve superior solutions for closed-loop systems. However, limited work has addressed CCD problems under probabilistic disturbances. This article addresses this gap by ...
Uncertainty-Aware Digital Twins: Robust Model Predictive Control Using Time-Series Deep Quantile Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Digital twins, virtual replicas of physical systems that enable real-time monitoring, model updates, predictions, and decision-making, present novel avenues for proactive control strategies for autonomous systems. ...