Sökning: "Optimal input design"
Visar resultat 1 - 5 av 122 avhandlingar innehållade orden Optimal input design.
1. Optimal input design for nonlinear dynamical systems : a graph-theory approach
Sammanfattning : Optimal input design concerns the design of an input sequence to maximize the information retrieved from an experiment. The design of the input sequence is performed by optimizing a cost function related to the intended model application. Several approaches to input design have been proposed, with results mainly on linear models. LÄS MER
2. Estimation and optimal input design in sparse models
Sammanfattning : Sparse parameter estimation is an important aspect of system identification, as it allows for reducing the order of a model, and also some models in system identification inherently exhibit sparsity in their parameters. The accuracy of the estimated sparse model depends directly on the performance of the sparse estimation methods. LÄS MER
3. Optimal Control of Partial Differential Equations in Optimal Design
Sammanfattning : This thesis concerns the approximation of optimally controlled partial differential equations for inverse problems in optimal design. Important examples of such problems are optimal material design and parameter reconstruction. In optimal material design the goal is to construct a material that meets some optimality criterion, e.g. LÄS MER
4. On risk-coherent input design and Bayesian methods for nonlinear system identification
Sammanfattning : System identification deals with the estimation of mathematical models from experimental data. As mathematical models are built for specific purposes, ensuring that the estimated model represents the system with sufficient accuracy is a relevant aspect in system identification. LÄS MER
5. Optimal Design of Neuro-Mechanical Networks
Sammanfattning : Many biological and artificial systems are made up from similar, relatively simple elements that interact directly with their nearest neighbors. Despite the simplicity of the individual building blocks, systems of this type, network systems, often display complex behavior — an observation which has inspired disciplines such as artificial neural networks and modular robotics. LÄS MER