Model validation: a connection between robust control and identification
Roy S. Smith,John Doyle +1 more
TLDR
The model validation problem addressed is: given experimental data and a model with both additive noise and norm-bounded perturbations, is it possible that the model could produce the observed input-output data?Abstract:
The gap between the models used in control synthesis and those obtained from identification experiments is considered by investigating the connection between uncertain models and data. The model validation problem addressed is: given experimental data and a model with both additive noise and norm-bounded perturbations, is it possible that the model could produce the observed input-output data? This problem is studied for the standard H/sub infinity // mu framework models. A necessary condition for such a model to describe an experimental datum is obtained. For a large class of models in the robust control framework, this condition is computable as the solution of a quadratic optimization problem. >read more
Citations
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Journal ArticleDOI
Modeling of linear fading memory systems
TL;DR: This work considers various classes of linear time-varying bounded-input-bounded output (BIBO) stable fading memory systems and the characterizations are proved and it is shown that the norm and strong convergence coincide for BIBO stable causal fadingMemory systems.
Proceedings ArticleDOI
Closed-loop model validation; an application to an unstable experimental system
Li Chen,Roy S. Smith +1 more
TL;DR: In this article, a model validation technique based on closed-loop, sampled, experimental data, which is applicable to open-loop unstable systems, is presented, and sufficient conditions are also derived using decimated data sets to alleviate the computation problem.
Proceedings ArticleDOI
Uncertainty Identification for a Nominal LPV Vehicle Model Based on Experimental Data
Gábor Rödönyi,József Bokor +1 more
TL;DR: In this paper, a practical method is presented for modelling uncertainty of a nominal linear parameter-varying (LPV) vehicle model, which is motivated by the problem of steering a vehicle by alternately braking the front wheels in emergency situations.
Proceedings ArticleDOI
Computer-aided uncertainty modeling of nonlinear parameter-dependent systems. I. Theoretical overview
TL;DR: An overview of uncertainty modeling methods and software tools being developed for application to mixed uncertainty systems is provided, which provides a computer-aided uncertainty modeling capability that makes current robust and LPV control methods accessible to a broad class of practical problems.
Journal ArticleDOI
Uncertainty Model Unfalsification
TL;DR: In this paper, the bounds are determined from finite data for specified types of sets useful for robust control design, and the bounds can be used to design robust control models for uncertain systems.
References
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