Global ETD Search
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Showing 1 to 8 of 8 for “"Subspace Identification"”.
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Subspace identification via convex optimization
… to the classical problem of identifying a subspace from noisy measurements of a random process taking values in the subspace. We focus on the case where the measurement noise is component-wise independent, known as the factor analysis model in statistics. We develop a new analysis of an …
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Development of a human body upper arm dynamic model for compensation and control of a body mounted robot
… given a well-structured task process model. Subspace identification was investigated as a possible technique for generating a dynamic model of the human body from a set of defined input and output data. To validate the potential applicability of this approach, a simulated system was developed …
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Ambient vibration testing of concrete dams
… domain decomposition (CFDD) and stochastic subspace identification (SSI) methods namely; unweighted principal component (UPC), principal component (PC) and canonical variant analysis (CVA)) have been applied to data from ambient vibration testing of two concrete dams namely; Roode Elsberg …
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Supervisory Control of a Commercial Heating, Ventilating, and Air Conditioning System
… this required non-trivial knowledge for proper identification and tuning adjustments. The framework of MPC was shown to be well suited for supervisory control of HVAC processes due to the inherent characteristics of the algorithm. The reformulation of MPC to use the compact, state-space models …
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Linear Control of Unmanned Aerial Vehicles
… a comprehensive workflow for the modeling, identification, and control of quadrotor unmanned aerial vehicles (UAVs) operating in windy conditions, covering the complete process from raw data-driven model development to advanced control design and experimental validation. The study begins by …
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Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control
… modeling. The first problem is approached by an identification method for determining the joint stiffness and backlash. The second problem is approached by using gray-box identification based on subspace-identification methods. Both identification algorithms are evaluated experimentally. Finally, …
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System Identification And Fault Detection Of Complex Systems
… proposed research is devoted to devising system identification and fault detection approaches and algorithms for a system characterized by nonlinear dynamics. Mathematical models of dynamical systems and fault models are built based on observed data from systems. In particular, we will focus on …