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Ellipsoidal Calculus for Estimation and Control

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TLDR
In this article, the authors give an account of an ellipsoidal calculus and ellipssoidal techniques that allow presentation of the set-valued solutions to these problems in terms of approximating ellipsseidal-valued functions.
Abstract
This text gives an account of an ellipsoidal calculus and ellipsoidal techniques that allows presentation of the set-valued solutions to these problems in terms of approximating ellipsoidal-valued functions. Such an approach leads to effective computation schemes, an dopens the way to applications and implementations with computer animation, particularly in decision support systems. The problems treated here are those that involve calculation of attainability domains, of control synthesis under bounded controls, state constraints and unknown input disturbances, as well as those of "viability" and of the "bounding approach" to state estimation. The text ranges from a specially developed theory of exact set-valued solutions to the description of ellipsoidal calculus, related ellipsoidal-based methods and examples worked out with computer graphics. the calculus given here may also be interpreted as a generalized technique of the "interval analysis" type with an impact on scientific computation.

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Book ChapterDOI

On Target Control Synthesis Under Set-Membership Uncertainties Using Polyhedral Techniques

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Proceedings Article

Combined stochastic and set-membership information filtering in multisensor systems

TL;DR: This paper explicates how stochastic and set-membership uncertainties can simultaneously be treated within this information form and compared to the Kalman filter, it becomes apparent that the quality of some required approximations is enhanced.
Journal ArticleDOI

Estimates of reachable sets of multidimensional control systems with nonlinear interconnections

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A formalized safety system for closed-loop anesthesia with pharmacokinetic and pharmacodynamic constraints

TL;DR: It is shown that maintaining blood pressure within safety constraints increases the time for anesthesia induction, especially for patients whose blood pressure is more sensitive to anesthetics.
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Event-triggered cooperative target tracking in wireless sensor networks

TL;DR: This paper studies some fundamental properties of the set-membership information filter with multiple sensor measurements and applies them to a 1D event-triggered target tracking scenario in which the negative information is exploited in the sense that the measurements that do not satisfy the triggering conditions are modelled as set- membership measurements.