In smart healthcare, binary classification is one of the most important tasks for disease or clinical outcome prediction. Machine learning (ML) methods have great potential to discover knowledge from data. While there...
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A multiple time-scale hierarchical control approach with guarantees for active fault diagnosability (detection and isolation) is presented. Robust positive invariance notions are used to provide a set-membership test ...
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In this paper, a new method for solving the fault detection and isolation (FDI) problem in general nonlinear stochastic systems is proposed. The proposed method is based on adaptive Monte Carlo filter and likelihood r...
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This paper focuses on the design of a Fault Isolation procedure suitable for integration within Fault Detection and Diagnosis schemes which are based on parameter estimation techniques. A brief discussion regarding th...
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This paper studies the local subspace identification of 1D homogeneous networked systems. The main challenge lies at the unmeasurable interconnection signals between neighboring subsystems. Since there are many unknow...
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This paper describes a new modified versions of invasive weed optimization algorithm with exponential seeds-spread factor. The modified invasive weed optimization algorithm (MIWO) is employed to optimize the fuzzy inp...
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Recently there has been increasing interest in the design of active acoustic and mechanical metamaterials. Part of the interest lies in the ability of active material systems to provide effective properties which can ...
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Recently there has been increasing interest in the design of active acoustic and mechanical metamaterials. Part of the interest lies in the ability of active material systems to provide effective properties which can be tuned to meet complex or changing performance demands. They provide an interesting framework through which some of the novel devices proposed for mechanical metamaterials can be implemented. However, the introduction of control hardware such as actuators and sensors complicates the design when compared to alternative passive approaches. In particular considerable inhomogeneity can be introduced, which can lead to an effective response that differs from that which is desired. In this paper a solution is proposed that uses the information from sensors embedded in the active system to identify its effective response, including any inhomogeneity. Under certain conditions, such an approach can also be extended to passive systems. The active system can then be subsequently modified to compensate for the identified inhomogeneity. This approach is demonstrated using a simulated example of an active mechanical metamaterial.
Functional series are the basis of much of existing nonlinear system theory. The present note extends the well-known local series beyond its radius of convergence to describe the entire system trajectory (for as long ...
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Functional series are the basis of much of existing nonlinear system theory. The present note extends the well-known local series beyond its radius of convergence to describe the entire system trajectory (for as long as it exists). First steps towards a generalization to systems defined on analytic manifolds are made. Copyright (C) 1996 Elsevier Science Ltd.
Inspired by some practical applications concerning collision avoidance topics, this paper focuses on the optimal control of linear dynamical systems in the presence of a set of adversary constraints. One of the novelt...
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Extended objects generate multiple measurements and are characterised with their size or volume. They require methods able to deal with the data association problem and at the same time to estimate both their kinemati...
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ISBN:
(纸本)9781849198639
Extended objects generate multiple measurements and are characterised with their size or volume. They require methods able to deal with the data association problem and at the same time to estimate both their kinematic states and shape parameters. This paper presents a solution to the extended object tracking for rectangular extended objects, with the Box Particle filter (Box PF) approach. The Box PF is implemented based on dynamically calculated constraints. Promising results are demonstrated.
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