Optimal, predictive, and adaptive control
Optimal, predictive, and adaptive control
Linear robust control
Brief Hysteresis-based switching algorithms for supervisory control of uncertain systems
Automatica (Journal of IFAC)
Brief Inference of candidate loop performance and data filtering for switching supervisory control
Automatica (Journal of IFAC)
Brief paper: Stability overlay for adaptive control laws
Automatica (Journal of IFAC)
Switching control of closed quantum systems via the Lyapunov method
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
From model-based control to data-driven control: Survey, classification and perspective
Information Sciences: an International Journal
On stabilization of switching linear systems
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
The paper studies how on-line inferring stability of a potential control-loop consisting of an uncertain plant interconnected in feedback with a candidate controller using plant I/O pairs recorded while the plant is possibly driven by a different controller. In such a context, a convenient tool to work with is to resort to the conceptual entity of a virtual reference (VR). The adopted approach consists of embedding, in the so-called unfalsified adaptive switching control schemes based on VR, a family of nominal models pairwise associated with the given candidate controllers. The result is that the supervised switching mechanism can moderate the chance that destabilizing controllers be switched-on and, hence, reduce both the magnitude and time durations of ''learning'' transients after start-up, while, in contrast with pre-existing multi-model based methods, stability in-the-large is guaranteed under the minimal conceivable assumption that a stabilizing candidate controller exist.