This research presents an iterative framework for optimizing the plant and controller for
complex systems by fusing expensive but valuable experiments with cheap yet less accurate …

This paper presents a methodology for optimally fusing experiments and numerical
simulations in the design of a combined plant and control system. The proposed …

This research presents a convergence analysis for an iterative framework for optimizing
plant and controller parameters for active systems. The optimization strategy fuses …

This paper presents a nested codesign (combined plant and controller design) formulation
that uses optimal design of experiments (DoE) techniques at the upper level to globally …

This paper presents a combined plant and controller optimization process for airborne wind
energy systems (AWEs) that fuses numerical optimization with lab-scale experimental …

This paper presents and experimentally evaluates a nested combined plant and controller
optimization (co-design) strategy that is applicable to complex systems that require …

This paper presents a unique nested optimization framework for the co-design of a physical
system (plant) and controller, which leverages optimal Design of Experiments (DoE) …

This paper presents a novel data-driven nested optimization framework that aims to solve
the problem of coupling between plant and controller optimization. This optimization strategy …

This paper presents a novel data-driven nested optimization framework that addresses the
problem of coupling between plant and controller optimization. This optimization strategy is …

The design of physical (plant) and control aspects of a dynamic system have traditionally
been treated as two separate problems, often solved in sequence. Optimizing plant and …