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This paper presents an infinite-dimensional Receding Horizon Observer for linear 2×2 hyperbolic systems with boundary measurements. The initial state is estimated as the optimal solution of an optimization problem which minimizes the distance between the measurements and the observer output. A constructive method is used to derive the existence and uniqueness of the solution. A composite strategy...
In this paper we employ general linear dynamic filters to robustly isolate faults in linear systems. The concept can be regarded as a generalization of observer based approaches and offers more degrees of freedom and less structural constraints than fault isolation observers (FIOs). We propose an LMI-based design approach for fault isolation filters (FIFs), where the existence of a solution for exactly...
This manuscript presents an optimization-based approach for path planning of an aerial mobile sensor that monitors a set of moving surface objects. The purpose of the optimization problem is to obtain feasible mobile sensor trajectories with an objective to minimize the uncertainty of the objects, represented as the trace of the state estimation error covariance. The dynamic optimization problem is...
This paper proposes a model predictive control scheme to provide temperature set-points to thermostatic controlled cooling units in refrigeration systems. The control problem is formulated as a convex programming problem to minimize the overall operating cost of the system. The foodstuff temperatures are estimated by reduced order observers and evaporation temperature is regulated by an algorithmic...
This paper deals with state estimation in linear time-invariant systems subject to unknown impulsive input signals. A solution based on a linear impulsive observer and a finite-memory convolution operator is suggested. The problem arises e.g. in the context of systems with intrinsic pulse-modulated feedback that have recently been applied to mathematical modeling of endocrine systems with pulsatile...
This article considers the design of an input signal for improving the diagnosability of faults from process measurements. Previous work has focused on open-loop input design. In particular, deterministic methods are available for computing an input that guarantees fault diagnosis within a specified time horizon, whenever such an input exists. Here, two closed-loop approaches are considered that use...
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