Now showing items 31-38 of 38
Control and Stabilization of a Class of Nonlinear Systems with Symmetry
The focus of this dissertation is to study issues related to controllability and stabilization of a class of underactuated mechanical systems with symmetry. In particular we look at systems whose configuration can be ...
Efficient Implementation of Controllers for Large Scale Linear Systems via Wavelet Packet Transforms
In this paper we present a method of efficiently implementing controllers for linear systems with large numbers of sensors and actuators. It is well known that singular value decomposition can be used to diagonalize any ...
Control Problems of Hydrodynamic Type
It has been known for some time that the classical work of Kirchhoff, Love,and Birkhoff on rigid bodies in incompressible, irrotational flows provideseffective models for treating control problems for underwater vehicles.This ...
Nonlinear Model Reduction for RTCVD
In this paper, we examine alternative methods for reducing thedimensionality of nonlinear dynamical system models arising incontrol of rapid thermal chemical vapor deposition (RTCVD) forsemiconductor manufacturing. We focus ...
Stabilization of LTI Systems with Communication Constraints
This work is directed towards exploring interactions ofcommunication and control in systems with communication constraints.Examples of such systems include groups of autonomousvehicles, MEMS arrays and systems whose sensors ...
Computation for Nonlinear Balancing
We illustrate a computational approach to practicalnonlinear balancing via the forced damped pendulum example.
Modeling and Adaptive Control of Magnetostrictive Actuators
In this dissertation, we propose a model and formulate a control methodology for a thin magnetostrictive rod actuator. The goal is to obtain a bulk, low dimensional model that can be used for real-time control purposes. ...
Globally Convergent Algorithms for Robust Pole Assignment by State Feedback
It is observed that an algorithm proposed in 1985 by Kautsky, Nichols and Van Dooren (KNV) amounts to maximize, at each iteration, the determinant of the candidate closed-loop eigenvector matrix X with respect to one of ...