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Mulvey et al. (1995) presented a framework for robust optimization that involves two types of robustness: ''solution robustness'' (the solution is nearly optimal in all scenarios) and 'modell robustness'' (the solution is nearly feasible in all scenarios).
MDC has emerged as an attractive framework for robust transmission over unreliable channels.
Multiple description coding (MDC) has emerged as an attractive framework for robust transmission over unreliable channels.
The uncertain system is characterized in a form that provides a framework for robust controller design.
In this paper we present a framework for robust explicit/multi-parametric model predictive control (MPC).
Ghouti and Bouridane [15] proposed a novel audio fingerprinting framework for robust perceptual hashing of audio content using balanced multiwavelets.
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ENMs are efficient and accurate frameworks for robust predictions of cooperative, often functional, movements under equilibrium conditions (Bahar et al., 2010).
The negative imaginary control systems framework allows for robust control design for such high precision systems in the face of uncertainties due to unmodelled dynamics.
We present a robust variable step-size affine projection algorithm (RVSS-APA) using a recently introduced new framework for designing robust adaptive filters.
Here, we outline a conceptual framework for designing robust ecological experiments with AM fungi using molecular approaches.
We present a design framework for the robust, self-regulating long-term operation of parallelized multiphase microfluidic reactor networks without the use of any active flow control elements.
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