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 42 for “"Parametric Uncertainty"”.
-
Parametric uncertainty analysis for complex engineering systems
… for allowing direct incorporation of uncertainty into the model formulation and for identifying the relative importance of different parameters. The basis of these methods is the deterministic equivalent modeling method (DEMM), which applies polynomial chaos expansions and the …
-
Identification of parametric uncertainty for the control of flexible structures
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
-
A method for robust control of systems with parametric uncertainty motivated by a benchmark example
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1991.
-
Uncertainty in atmospheric CO₂ concentrations from a parametric uncertainty analysis of a global ocean carbon cycle model
… is principally the product of the structural uncertainty implied by an amalgamation of the results of several ocean carbon sink models of varying degrees of complexity. This range does not take into account the parametric uncertainty in these models and does not address how this uncertainty …
-
A framework for the integration of design and operation under uncertainty using dynamic perturbation and chance constraints
… operation in an optimization problem in which parametric uncertainty is included without scenario-based recourse and without the sequential solution on individual realizations of the uncertain parameters. This goes beyond the pure challenge of solving a dynamic equation system. The methodology …
-
A control system design technique for nonlinear discrete time systems
… and maintain stability in the presence of large parametric uncertainty or time-variant behavior. Techniques are proposed for overcoming instabilities that frequently arise when using adaptive control schemes based on reduced order system models or in the presence of disturbances. A framework is …
-
Robust State Estimation, Uncertainty Quantification, and Uncertainty Reduction with Applications to Wind Estimation
… of wind estimates over time due to known parametric uncertainties. A novel truncation method, known as Sensitivity-Informed Variable Reduction (SIVR) was developed. In the multivariate case presented here, gPC and the SIVR-derived reduced gPC (gPCr) exhibit a computational advantage over …
-
Thermal stability criteria embedded in avanced control systems for batch process intensification
… to the general mathematical form. The effect of parametric uncertainty for process control is of utmost importance for industrial application. It is shown that the use of scenario-based MPC and worst case MPC, together with criterion $\mathcal{K}$ and Lyapunov exponents, results in a robust …
-
Variable Fidelity Studies in Wake Vortex Evolution, Safety, and Control
… wind gust, wake vortex disturbance) and actuator parametric uncertainty. This method is designed as a part of “Interaction” sub-module of the SITAR WVSS model. The results demonstrate the capability of the proposed nonlinear controller to asymptotically reject wind gust/wake-vortex disturbances …
-
Robust low-order control of flexible joint manipulators
… are treated as an external disturbance, and parametric uncertainty is represented as the structured uncertainty of the nominal plant. The $H\sb{\infty}$-norm approach is then utilized to design a robust state feedback controller to stabilize the linear system and to give a specified bound on …
-
Efficient Identification and Control Methods For Nonlinear Systems Under Uncertainty
… and constraint handling capabilities under uncertainty. These methods are based on Moving Horizon Estimation (MHE), Nonlinear Model Predictive Control (NMPC), and Polynomial Chaos Theory (PCT).</p> <p>When implementing control on real multivariable chemical or petrochemical processes such as …
-
Robust post-stall perching with a fixed-wing UAV
… trajectory in the presence of both dynamic and parametric uncertainty. I also present methods for carrying out stochastic verification in the presence of Gaussian acceleration uncertainty and adaptive control techniques for improving controller performance in the presence of parametric …
-
Robust adaptive control of induction machines using the L1 control scheme
… is heated due to normal use, resulting in more parametric uncertainty. The proposed control scheme will cause the motor to track a desired reference model behavior, even in the presence of these unknown parameters. An adaptive control scheme known as L1 adaptive control is used to ensure that …
-
Simulation and Optimization of Batch Crystallization Processes
… the kinetic parameters and to quantify the parametric uncertainty for multidimensional crystallization processes. Analysis tools are developed which can estimate the effects of uncertainties in the model or in the implementation to the final optimal control policy and performance. Based on …
-
Man-portable power generation devices : product design and supporting algorithms
… class of optimization problems considered are parametric mixed-integer linear programs and the second class are bilevel programs with nonconvex inner and outer programs; no algorithms exist currently in the open literature for the global solution of either problem in the form considered here. …
-
Passivity-Based adaptive bilateral teleoperation control for uncertain manipulators without jerk measurements
… load transportation tasks in the presence of parametric uncertainty in the robot kinematic and dynamic models. The teleoperation architecture is based on the two-layer approach placed in a hierarchical structure, whose top and bottom layers are responsible for ensuring the transparency and …
-
Attitude control of an underwater vehicle subjected to waves
… good performance in the presence of substantial parametric uncertainty. Pitch disturbance rejection properties of variations of the sliding controller are investigated. Both single frequency and stochastic disturbances are used, and the stochastic disturbance is developed using the results of the …
-
Numerical Investigations of Geologic CO2 Sequestration Using Physics-Based and Machine Learning Modeling Strategies
… simulations, particularly in the context of parametric sensitivity. This work focuses on parametric uncertainty associated with multi-phase fluid dynamics that govern geologic CO2 storage. The effects of this uncertainty are interrogated through ensemble simulation methods that implement both …
-
A Polynomial Chaos Approach to Control Design
… method was created for the practical reason that uncertainty in parameters tends to be inherent in system models. As such, the development of new methods utilizing probability density functions (PDFs) was desired. From a more theoretical viewpoint, the utilization of Polynomial Chaos for studying …
-
Development of a feedback controller for the Antenna Positioner on the MeerKAT Radio Telescope
… model. This leads to a system model defined with parametric uncertainty. Wind disturbance plays a significant role in the pointing performance of the antenna. Therefore, focus is then placed on developing an appropriate wind model to represent the on-site wind characteristics and the relationship …
Page 1 of 3