Ensuring Stability and Fidelity of Recursively Identified Control-Relevant Models
Ensuring Stability and Fidelity of Recursively Identified Control-Relevant Models is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include correctness, semiconductor device reliability, heuristic, noise, computer science, identification, fidelity, system identification, mathematical optimization, model predictive control, fault detection and isolation, algorithmic stability, subspace topology, and algorithm. The efficacy of the proposed approach is demonstrated using case studies involving the modeling of time-varying glucose–insulin dynamics.