Robust Data-Driven Controller Design with Finite Frequency Samples
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This thesis focuses on the development of some fixed-order controller design methods in the gain-scheduling/Linear Parameter Varying (LPV) framework. Gain-scheduled controllers designed using frequency-domain Single Input Single Output (SISO) models are co ...
Robust control is used for a system with uncertainties and disturbances. Above all, the H∞ loop shaping method is known as the method achieving good control performance. However, this method takes much time to build the mathematical model of an actual plan ...
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A multiphonon-assisted model included in a Poisson-Schroedinger solver has been applied for the calculation of the capture/emission trapping rates of Si/SiO2 interface defects and their dependence with respect to the trap energy and depth in the oxide. The ...
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Amplitude and frequency are the two primary features of one-dimensional signals, and thus both are widely utilized to analysis data in numerous fields. While amplitude can be examined directly, frequency requires more elaborate approaches, except in the si ...
This paper addresses the design of convergence and performance certified sampled-data model predictive control (MPC) laws with a time-dependent economic performance index. More precisely, using a dissipativity property of the system, we provide a set of su ...
This study proposes three simple approaches to estimate the stride count and frequency during walking and running using an inertial measurement system on the wrist. The approaches were based on a time-domain, frequency-domain and autocorrelation analysis, ...
A reflectarray cell able to dynamically control the reflection phase at a variable frequency is presented. This capability enables beam-scanning reflectarrays with frequency reconfigurability, which is a novel capability with applications in frequency-hopp ...
Institute of Electrical and Electronics Engineers2013
The motivation to study multiscale problems such as friction and crack propagation/nucleation has triggered the development of multiscale models. The state-of-the-art multiscale models that have been developed until today are successfully applied to a vari ...