Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 26 for “"Nonlinear System Identification"”.
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Model-based algorithms for nonlinear system identification
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.
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Applications of nonlinear system identification to protein structural prediction
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
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Nonlinear system identification and control using a neural network approach
In this thesis, the plant identification, state estimation based on the identified plant and also the design of a neuro-controller using multi-layer perceptrons (MLPs) for a complex system are presented. The quasi-linear system to be controlled is both unstable and nonlinear. The complete nonlinear …
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Application of cascade-correlation neural networks to nonlinear system identification
… artificial neural networks to the problem of nonlinear system identification. The most common neural network architecture, the multilayer feed-forward network, trained with the backpropagation algorithm, has been shown to be capable of universal function approximation which makes it applicable …
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Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting
Nearly three decades back nonlinear system identification consisted of several ad-hoc approaches, which were restricted to a very limited class of systems. However, with the advent of the various soft computing methodologies like neural networks and the fuzzy logic combined with optimization …
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Space-frequency localized basis function networks for nonlinear system identification and control
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1995.
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Reduced-order modeling and nonlinear system identification in structural dynamics and material characterization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Nonlinear System Identification of Physical Parameters for Damage Prognosis and Localization in Structures
… health monitoring procedures using interrogative system identification techniques and determine sensitivities of physical parameters to damage. Additionally, vibration-based spectral quantities are related to physical properties of the structure under test. In this thesis, nonlinear response to …
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Beans to Bytes: Grey-Box Nonlinear System Identification Using Hybrid Physics-Neural Network Models
… results. However, the applicability to system identification and modelling dynamical systems still has a great amount of room for exploration. This thesis reviews different neural network architectures and their application to complex non-linear dynamic system identification. In …
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System Identification via the Proper Orthogonal Decomposition
… the accuracy of analyses based on the model. System identification techniques attempt to circumvent these problems by using experimental response data to characterize or identify a system. However, identification of structures that are time-varying or nonlinear is problematic because the …
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Learning to transform time series with a few examples
… this algorithm and its unsupervised extension to nonlinear system identification and manifold learning techniques. I demonstrate it on the tasks of tracking RFID tags from signal strength measurements, recovering the pose of rigid objects, deformable bodies, and articulated bodies from video …
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A Cost-Efficient Digital ESN Architecture on FPGA
… metrics outperform traditional RNNs in nonlinear system identification and temporal information processing. In this thesis, we design and implement ESNs through Field-programmable gate array (FPGA) and explore their full capacity of digital signal processors (DSPs) to target low-cost and …
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Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control
… is referred to as decoupled synchronous machine system (DSMS). On top of that, the grid-side converter is capable of providing reactive power as an auxiliary voltage controller. However, in a practical setting, for power utilities, the detailed state equations of such device as well as the …
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Adaptive Identification of Nonlinear Systems
This work presents three techniques for parameter identification for nonlinear systems. The methods presented are expanded from those presented in Adetola and Guay [3, 4, 5] and are intended to improve the performance of existing adaptive control systems. The first two methods exactly recover …
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Identification, reduced order modeling and model updating of nonlinear mechanical systems
… we propose a new method for global/local nonlinear system identification, reduced order modeling and nonlinear model updating, applicable to a broad class of dynamical systems. The global aspect of the approach is based on analyzing the free and forced dynamics of the system in the …
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Nonlinear stochastic system identification techniques for biological tissues/
… develops a device capable of measuring the nonlinear dynamic mechanical properties of human tissue in vivo. The enabling technology is the use of nonlinear stochastic system identification techniques in conjunction with a high bandwidth actuator to perturb the tissue. The desktop and …
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Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence
Chemical processes are intrinsically nonlinear and often integrated into large-scale networks, which are difficult to control effectively. The traditional challenges faced by process control, as well as the modern vision of transitioning industries into a smart manufacturing paradigm, requires the …
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Load Learning and Topology Optimization for Power Networks
… via grid probing is formulated as an implicit nonlinear system identification task, which is shown to be topologically observable under certain conditions. The analysis holds for single- and multi-phase grids, radial or meshed, and applies to phasor or magnitude-only voltage data. Using probing …
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Identification of Thermoacoustic Dynamics Exhibiting Limit Cycle Behavior
Identification of thermoacoustic dynamics that exhibit limit cycle behavior is needed to gain a better intuitive feel of the system, to design complex control strategies, and to validate modeling efforts. Limit cycle oscillations arise in thermoacoustic systems due to the coupling between a …
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Data-driven system identification of strongly nonlinear modal interactions and model updating of nonlinear dynamical systems
… and experimental observation. While linear identification tools are well-established, practicing engineers face significant barriers when identifying and constructing reduced-order models of the dynamics of nonlinear dynamical systems; the reason is that, typically, nonlinearities introduce …
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